Security Implications of Cloud-based IoT Software

Abhinav Anand | July 15, 2022 | 158 views | Read Time : 02:38 min

Cloud-based IoT Software
Physical and digital security are changing due to cloud-based IoT software, which makes it possible to combine them and use them to utilize data better. In almost every sector, data is essential to success, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification.

Utilizing cloud-based IoT technology also enhances productivity and enables quick replies. Combining digital and physical security, often known as security convergence, is another technique to optimize IoT and cloud-based security solutions. To guard against internet flaws and intrusions, a cloud-based physical security system needs cybersecurity software. In a similar vein, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive plan of action.

Maintaining current versions of the technology you are using in your security plan is necessary for future-proofing your technology. To ensure that your cloud-based system has no vulnerabilities that could expose your company to cybersecurity risks, it is crucial to keep all software updated. Updates can be automated and carried out remotely with cloud-based software, requiring little effort on your part to keep your software current.

You have the chance to develop a security system that is future-proof when a firm adopts cloud-based IoT technologies as part of your security plan. When organizations use IoT technology, cybersecurity is a significant concern. However, combining physical and digital security lets you ensure your cloud-based system is well-protected from vulnerabilities. In addition, your security and IT teams will be better able to manage the evolving security landscape if you combine physical and digital security ideas.

Spotlight

Think Big Factory

Think Big Factory is a leading international company pioneering in the Internet of things sector based in Madrid (Spain). Our product and strategic design consultancy help our client base of big and middle-size companies to create business opportunities at the intersection between digital and physical realities.Our objective is to create great products with a design-based approach. We believe that interaction design and user experience are key in every stage.

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ENTERPRISE IOT

What Is the Impact of IoT on Supply Chain Management?

Article | August 10, 2022

Every major industry, including retail, transportation, banking, healthcare, and energy, has significantly benefited from the Internet of Things. Processes like supply chains are where the Internet of Things best demonstrates its promise. Applications for management, forecasting, and oversight aid fleet managers in increasing distribution's operational effectiveness and decision-making openness. Some of the primary goals for IoT deployment in supply chain management include tracking and monitoring. For example, warehouse and fleet managers can use technology to keep an eye on their stock and freight. Reasons to Use IoT in Supply Chain Management Real-time Location-tracking Thanks to the Internet of Things, managers have access to a consistent stream of real-time data on the product's location and the environment surrounding transportation. You may keep track of the delivery of both finished items and raw materials, and you will be informed if the product is transported in the wrong direction. Monitoring of Storage Conditions Environmental sensors allow management to monitor cargo conditions and take immediate action when something changes. One of the most popular IoT supply chain systems, for example, collects data on pressure, humidity, the temperature inside vehicles, and other factors that could harm the goods and then automatically adjusts the environment. Enhance Your Emergency Planning Supply chain managers can design routes with the use of IoT and data analytics, taking into account traffic, weather, potential accidents, and other delay-causing events that may occur along the way. The Internet of Things collects all the data required to create adaptable backup plans and identify the source of any current delays. Also, supply chain managers can get alerts from the system in real time, which speeds up reducing risks. Forecast Goods Arrival and Movement IoT devices and data analytics systems are used by managers to enhance the decision-making process and boost the accuracy of delivery estimates. Real-time tracking lets businesses keep track of products as they are shipped, predict when they will arrive, and plan for and reduce the risk of delays. Conclusion There are many different IoT applications for supply chain management. For example, it improves communication between parties, makes it easier to track and monitor commodities, and makes planning more precise. As long as you have a clear goal for what you need the technology to achieve for you, an IoT-based platform is an excellent investment for both small and large organizations. It's also essential to bring on a talented team for the design and development phase.

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Unlocking the IoT Potential with AI

Article | June 28, 2022

Artificial intelligence is becoming increasingly crucial in IoT applications and deployments. Over the past two years, investments and acquisitions in firms that combine AI and IoT have increased. IoT platform software from top suppliers now includes integrated AI features, including machine learning-based analytics. When artificial intelligence is linked with the internet of things, we get Artificial Intelligence of Things (AIoT). The prime motive for combining AI and IoT is that, while IoT devices are used to gather data and send it to a cloud or other location where it can be stored using the internet, AI, which is regarded as the brain of AIoT, is what actually aids in decision-making and simulates how machines would act or react. Other artificial intelligence (AI) tools, such as speech recognition and computer vision, can assist reveal patterns in data that previously needed human evaluation. AI applications for IoT-enabled companies help them avoid several issues: Preventing expensive unplanned downtime Predictive maintenance can lessen the adverse economic effects of unplanned downtime by employing analytics to anticipate equipment failure and arrange orderly maintenance processes. In order to predict equipment failure, machine learning enables the discovery of patterns in the continuous streams of data produced by today's technology. Operational efficiency advancement IoT with AI capabilities can also increase operational effectiveness. By processing continuous data streams to find patterns invisible to the human eye and not visible on simple gauges, machine learning can predict operating conditions and identify parameters that need to be adjusted immediately to maintain ideal results, just as it can predict equipment failure. Improved risk management IoT and AI-powered applications enable businesses to automate for quick reaction, better analyze and predict a range of hazards, and control worker safety, financial loss, and cyber threats. Finding an IoT system that does not incorporate AI could soon be uncommon. With the help of AI, organizations can truly enhance the potential IoT and effectively put it into use for improving the overall functioning.

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ENTERPRISE IOT

Future of Security: Cloud Based IoT Software

Article | June 7, 2022

The nature of digital and physical security is evolving as a result of cloud-based IoT software, which enables both security components to be combined and used to exploit data better. Commercial use of cloud-based IoT software is possible, and cloud-based solutions have some advantages in the area of security. IoT technology, which is essential to this development, is driving worldwide development in many areas and revolutionizing daily operations for many businesses. Data is essential to success in almost every sector, and security is no exception. To better understand what's going on in your business, you can combine cloud-based solutions that contain all the information on a single interface. For instance, integrating security camera feeds with cloud-based access control systems enables real-time visual identification verification. The Impact of Combining Physical and Cyber Security Combining digital and physical security, often known as security convergence, helps optimize IoT and cloud-based security systems. A cloud-based physical security system needs cybersecurity software to guard against internet flaws and intrusions. Similarly, physical security measures prevent sensitive data from getting into the wrong hands. Teams for physical and cyber security might combine to provide a more comprehensive action plan. The more seamlessly all physical and digital security components are linked, the more secure and future-proof a commercial system will be. When organizations use IoT technology, cybersecurity is a significant concern. However, by combining physical and digital security, organizations can make sure their cloud-based systems are well protected from vulnerabilities. In addition, the security and IT teams will also be better able to manage the evolving security landscape when the organization combines physical and digital security ideas.

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ENTERPRISE IOT

How Can Businesses Reduce IoT and IIoT Security Risks?

Article | July 6, 2022

The Internet of Things (IoT) and Industrial Internet of Things (IIoT) markets have experienced explosive growth as a result of the digital industrial revolution that followed the COVID-19 epidemic. To fully benefit, however, organizations have had to handle security concerns associated with these revolutionary technologies. Therefore, finding the correct security strategy is crucial for any organization because of the increasing dependency on IoT and IIoT to manage essential business systems. IoT and IIoT can be implemented quickly, but they come with inherent vulnerabilities. This risks businesses from cyberthreats such as device theft, spoofing, denial of service attacks, and data breaches or siphoning. Attacks of this nature adversely affect an organization's operations, finances, safety, and reputation. Many IoT and IIoT devices have passwords hard-coded into their firmware, making it challenging to patch or update security, which is a significant problem. Even when security is deployed on a device, it can usually be bypassed by taking advantage of a variety of known weaknesses. As a result, IT teams may find it challenging to identify an occurrence when IoT or IIoT devices are compromised before affecting systems and data. Mitigating IoT and IIoT Security Risks Separate IIoT and wireless devices from the SCADA or ICS network. Micro-segmentation allows only authorized device connectivity in certain circumstances. Control network access by monitoring what connects and validating each device's security. Demand visibility across all enterprise security networks and devices. This should be centralized so all devices, networks, risks, traffic, and policies can be handled in real-time across production and IT environments. Use an intrusion protection system (IPS) to identify threats and patch IoT and IIoT devices virtually. Counter unexpected attacks with active protection and deception techniques. It's crucial to check that security solutions can grow automatically to meet business requirements before using them. This entails responding to network changes, foreseeing risks and controlling them proactively, and offering real-time threat intelligence.

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Spotlight

Think Big Factory

Think Big Factory is a leading international company pioneering in the Internet of things sector based in Madrid (Spain). Our product and strategic design consultancy help our client base of big and middle-size companies to create business opportunities at the intersection between digital and physical realities.Our objective is to create great products with a design-based approach. We believe that interaction design and user experience are key in every stage.

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ENTERPRISE IOT

AWS Announces General Availability of AWS IoT FleetWise

AWS | September 28, 2022

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced the general availability of AWS IoT FleetWise, a new service that makes it easier for automotive companies to collect, transform, and transfer vehicle data to the cloud in near real time. Automakers, suppliers, fleet operators, and technology solution vendors in the automotive industry can use AWS IoT FleetWise to collect and organize vehicle data more easily, and to store the data in a standardized way for data analysis in the cloud. AWS IoT FleetWise helps automotive companies efficiently transfer data to the cloud in near real time using the service’s intelligent data-collection capabilities. These capabilities allow developers to reduce the amount of data transferred to the cloud by defining rules for when to collect and transfer it based on configurable parameters (e.g., vehicle temperature, speed, and type). Once the data is in the cloud, automotive companies can use it for applications that analyze vehicle fleet health to more quickly identify potential recalls or safety issues, make in-vehicle infotainment systems smarter, or improve advanced technologies like autonomous driving and advanced driver-assistance systems with analytics and machine learning. There are no upfront costs to use AWS IoT FleetWise, and customers pay only for the underlying services used. To get started with AWS IoT FleetWise, visit aws.amazon.com/iot-fleetwise. “Automotive companies want to use the broad portfolio of AWS services to help manage the vast amounts of data coming from connected vehicles, but they have lacked a solution that made it easier to collect, transform, and transfer data to the cloud, Now, with AWS IoT FleetWise, customers can easily pinpoint the exact vehicle data they need and analyze it in a standardized format to gain actionable insights into the vehicle’s health status and performance. Automotive companies can now use the data extracted through AWS IoT FleetWise to help improve vehicle quality, safety, and autonomy.” Mike Tzamaloukas, general manager of IoT automotive at AWS Automotive companies have been collecting data from basic vehicle sensors for over a decade to evaluate operational and safety indicators like engine temperature and vehicle stability. Automotive companies today are building vehicles with advanced sensors (e.g., radar and cameras) that create vast amounts of data—in some cases up to 2 terabytes of data every hour. Automotive customers want to collect, standardize, and analyze this data in the cloud to quickly and easily derive insights that can help improve vehicle quality, safety, and autonomy. However, transferring this data to the cloud can be cost prohibitive and time consuming. Additionally, the growing variety of vehicle makes, models, and trims that generate data in different proprietary formats creates a complex array of data across vehicles. Collecting, transforming, and analyzing this data requires automotive companies to build custom data-collection systems, which is difficult and time-consuming. As a result, automotive companies are unable to use the data to help solve common problems like spotting fleet-wide issues before they become a bigger problem, tailoring infotainment content, and using data to improve vehicle performance. AWS IoT FleetWise provides automotive companies with a managed service that makes it easier to collect, transform, and transfer data from millions of vehicles to the cloud in near real time. With AWS IoT FleetWise, automotive companies can access, structure, and standardize proprietary vehicle data without needing to develop custom data-collection systems. Customers can also integrate with AWS IoT FleetWise to enhance their existing systems. Automotive companies can get started in the AWS Management Console by defining and modeling vehicle attributes (e.g., a two-door coupe) and the sensors associated with the car’s make, model, and trims (e.g., engine temperature, front-impact warning, parking assist system) for individual vehicle types or multiple vehicle types across their entire fleet. After vehicle modeling, automotive companies can connect the AWS IoT FleetWise application via the vehicle gateway (i.e., in-vehicle communications hub that monitors and collects data) or other data collection hubs in the vehicle, so it can read, decode, and transmit information to and from AWS. With AWS IoT FleetWise’s intelligent data-collection controls, automotive companies can select the exact data they need for their use cases and limit the amount of data transferred to the cloud by creating conditional rules (e.g., sensor data from hard-braking events associated with a vehicle make and model). Once data is transferred to the cloud with AWS IoT FleetWise, automotive companies can use AWS’s breadth and depth of analytics and machine learning services to extract value from vehicle data. For example, automotive companies can collect data from electric-vehicle batteries when the temperature drops below freezing and then analyze it and run simulations in the cloud to improve battery performance in cold weather. The new AWS IoT FleetWise service is part of AWS for Automotive, a comprehensive offering of AWS services and AWS Partner Network (APN) solutions used by automotive and mobility customers globally to help automotive customers digitally transform their business for connected mobility, digital customer engagement, product design and engineering, manufacturing, and supply chain. For more information about AWS for Automotive, visit aws.com/automotive. AWS IoT FleetWise with standard vehicle data collection is generally available today in US East (N. Virginia) and Europe (Frankfurt), with availability in additional AWS Regions coming soon. Bridgestone is a global leader in tires and rubber, offering a diverse portfolio of premium tires and advanced solutions, improving the way people around the world move, live, work, and play. “Bridgestone has been working with AWS to transform the digital services we provide to our automotive manufacturer, fleet, and retail customers,” said Brian Goldstine, president, mobility solutions and fleet management at Bridgestone Americas, Inc. “We look forward to exploring how AWS IoT FleetWise will make it easier for our customers to collect detailed tire data, which can provide new insights for their products and applications.” Hyundai Motor Group (HMG) is a global vehicle manufacturer that offers consumers a technology-rich lineup of cars, sport utility vehicles, and electrified vehicles. “As a leading global vehicle manufacturer, we have come to appreciate the breadth and depth of AWS services to help create new connected vehicle capabilities,” said HaeYoung Kwon, vice president and head of the infotainment development group at HMG. “With more data available from our expanding global fleet of connected cars, we look forward to leveraging AWS IoT FleetWise to discover how we can build more personalized ownership experiences for our customers.” LG CNS is a leader in cloud, artificial intelligence, and big data technologies that are transforming smart transportation services. “At LG CNS, we are committed to advancing the technology that is powering the future of transportation,” said Jae Seung Lee, vice president at LG CNS. “By using AWS IoT FleetWise, we are creating a new data platform that allows us to ingest, analyze, and simulate vehicle conditions in real time. With these advanced insights, our customers can gain a better understanding of their vehicles and, as a result, improve decision-making about their fleets.” Renesas Electronics Corporation is a global leader in microcontrollers, analog, power, and system-on-chip (SoC) products. “The volume of connected vehicle data is forecast to increase dramatically over the next few years, driven by new and evolving customer expectations. As a result, Renesas is focused on addressing the needs of automotive engineers facing increasing system complexity,” said Yusuke Kawasaki, director at Renesas Electronics Corporation. “Incorporating AWS IoT FleetWise into our vehicle gateway solution will enable our customers to enjoy our market-ready approach for large-scale data collection and accelerate their cloud development strategy. We look forward to collaborating further with AWS to provide a better and simpler development environment for our customers.” About Amazon Web Services For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 87 Availability Zones within 27 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, and Switzerland. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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ENTERPRISE IOT

SES-imagotag Partners with Instacart to Augment Shopping Experiences with VUSION IOT Technology

SES-imagotag Inc | September 21, 2022

SES-imagotag, the global leader in digital solutions for physical and hybrid retail announced a partnership with Instacart, the leading grocery technology company in North America. The partnership will integrate SES-imagotag's cutting edge in-store technologies like digital price tags and the VUSION Retail IOT cloud platform into retail stores to make the shopping process seamless for grocers and consumers. Searching for a single product on a shelf can be time consuming. With SES-imagotag's VUSION IOT retail cloud platform and digital price tags, customers will be able to significantly reduce the time they spend picking items with precise product geolocation, maps that provide optimized pick-up paths and 180-degree blinking LED lights. "We're at a pivotal moment in retail as hybrid shopping – or shopping in-store augmented with an online component – becomes the norm, At SES-imagotag, we believe physical stores are the ideal local logistics network for quick deliveries and order pick-ups. The VUSION IOT platform enables stores to become a logistics hub, combining the ease and speed of the internet with the proximity and convenience of physical local stores to enhance in-store retail operations. We look forward to partnering with Instacart to support shoppers, customers and retailers operationally as demand for hybrid retail skyrockets." Philippe Bottine, North American CEO of SES-imagotag The last three years have shown a complete paradigm shift in the way consumers shop. From a pandemic-induced rush to ecommerce to today's hybrid preference, millions of consumers now rely on services like Instacart to get their favorite products and essentials from local stores quickly. With enhancing technology like SES-imagotag's VUSION Retail IOT cloud platform, customers can get their preferred products and support their favorite local stores faster than ever before. About SES-imagotag: SES-imagotag is the world leader in smart digital labels and IoT solutions for physical retail, serving over 300 large retailer groups around the world in Europe, Asia and North America. SES-imagotag has developed the VUSION Retail IOT technology platform to help retailers transform their physical stores into high value digital assets, more automated, data-driven, and connected in real-time to suppliers and consumers. VUSION improves the agility, precision and accuracy of prices, while ensuring the omnichannel synchronization of prices, product information and marketing campaigns. The platform also optimizes in-store order preparation and restocking. VUSION improves employee satisfaction by freeing up time from cumbersome low-value tasks and allowing employees to focus on customer service and merchandising. VUSION connects shelves to the Cloud, providing real-time accurate information on product availability and location, allowing for reduced inventory, out-of-stock and waste, as well as improved on-shelf availability and merchandising compliance. VUSION empowers consumers with better product, nutritional and traceability information at the shelf and enables a frictionless in-store shopping experience with features such as product search, pathfinding and cashier-less scan & pay features. SES-imagotag supports the United Nations' Global Compact initiative and has received in 2022 the Gold Sustainability Rating from EcoVadis, the world's reference of business sustainability ratings.

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ENTERPRISE IOT

XPENG G9 Equipped with Dual Automotive-Grade LiDAR Sensors from RoboSense

RoboSense | September 29, 2022

RoboSense, a world-leading provider of Smart LiDAR Sensor Systems announced XPENG G9 equipped with two RoboSense second-generation Smart Solid-state LiDARs (RS-LiDAR-M1). On September 21, XPENG Motors held the “G9 Flagship SUV Immersive Experience” online launch event and officially launched XPENG G9. XPENG G9 is positioned as “the world’s Fastest-Charging electric SUV”. It achieved a breakthrough and went going from development of “independent functions” to “global intelligence”. G9 further demonstrates XPENG’s innovation in the field of intelligence. From the early functions of autonomous parking, voice control to driver assistance, G9 uses XPENG’s second-generation ADAS, XNGP, equipped with two RoboSense second-generation smart solid-state LiDARs, to realize full-scenario intelligent driver assistance. The sensing system of the X Version of G9 uses 31 sensors. In particular, two RoboSense second-generation smart solid-state LiDARs are deployed under the headlights on both sides of the vehicle, covering 180° horizontal view, effectively reducing the size of vertical blind spots and thus tackling various complex driving scenarios in urban areas more effectively. This greatly improves the intelligent driving experience of G9, enabling it to run gracefully in the bustling traffic in urban scenarios. With two smart solid-state LiDARs to boost performance, XNGP ADAS integrates new-generation visual perception and sensor fusion technologies, more powerful computing algorithms and decision-making and planning capabilities, which will achieve full coverage of daily driving scenarios including highways, urban expressways/main trunk roads/sub trunk roads, parks roads and parking lots and connect points such as high-speed toll stations, parking lot gates, etc. to become an advanced intelligent driver-assistance system that meets the daily commuting needs. In accordance with strict passenger vehicle automotive-grade standards, RoboSense second-generation smart solid-state LiDAR has passed a series of reliability tests and fully meets the safety, reliability, service life and other requirements of XPENG G9 in high-speed and urban complex road scenarios. With its leading technological strengths in the field of LiDAR, RoboSense has obtained design wins for more than 50 models from companies including XPENG, Great Wall Motor, BYD, FAW Hongqi, GAC AION, ZEEKR, WM Motor, Lotus Cars, Lucid Motors, Inceptio Technology and Zhito Technology. RoboSense will always pursue technological innovation and keep promoting the large-scale production of smart vehicles. About RoboSense RoboSense (Suteng Innovation Technology Co., Ltd.) is a world-leading provider of Smart LiDAR Sensor Systems. With a complete portfolio of LiDAR sensors, AI perception and IC chipsets, RoboSense transforms conventional 3D LiDAR sensors with comprehensive data analysis and interpretation systems. About XPeng Inc. XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future.

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ENTERPRISE IOT

AWS Announces General Availability of AWS IoT FleetWise

AWS | September 28, 2022

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced the general availability of AWS IoT FleetWise, a new service that makes it easier for automotive companies to collect, transform, and transfer vehicle data to the cloud in near real time. Automakers, suppliers, fleet operators, and technology solution vendors in the automotive industry can use AWS IoT FleetWise to collect and organize vehicle data more easily, and to store the data in a standardized way for data analysis in the cloud. AWS IoT FleetWise helps automotive companies efficiently transfer data to the cloud in near real time using the service’s intelligent data-collection capabilities. These capabilities allow developers to reduce the amount of data transferred to the cloud by defining rules for when to collect and transfer it based on configurable parameters (e.g., vehicle temperature, speed, and type). Once the data is in the cloud, automotive companies can use it for applications that analyze vehicle fleet health to more quickly identify potential recalls or safety issues, make in-vehicle infotainment systems smarter, or improve advanced technologies like autonomous driving and advanced driver-assistance systems with analytics and machine learning. There are no upfront costs to use AWS IoT FleetWise, and customers pay only for the underlying services used. To get started with AWS IoT FleetWise, visit aws.amazon.com/iot-fleetwise. “Automotive companies want to use the broad portfolio of AWS services to help manage the vast amounts of data coming from connected vehicles, but they have lacked a solution that made it easier to collect, transform, and transfer data to the cloud, Now, with AWS IoT FleetWise, customers can easily pinpoint the exact vehicle data they need and analyze it in a standardized format to gain actionable insights into the vehicle’s health status and performance. Automotive companies can now use the data extracted through AWS IoT FleetWise to help improve vehicle quality, safety, and autonomy.” Mike Tzamaloukas, general manager of IoT automotive at AWS Automotive companies have been collecting data from basic vehicle sensors for over a decade to evaluate operational and safety indicators like engine temperature and vehicle stability. Automotive companies today are building vehicles with advanced sensors (e.g., radar and cameras) that create vast amounts of data—in some cases up to 2 terabytes of data every hour. Automotive customers want to collect, standardize, and analyze this data in the cloud to quickly and easily derive insights that can help improve vehicle quality, safety, and autonomy. However, transferring this data to the cloud can be cost prohibitive and time consuming. Additionally, the growing variety of vehicle makes, models, and trims that generate data in different proprietary formats creates a complex array of data across vehicles. Collecting, transforming, and analyzing this data requires automotive companies to build custom data-collection systems, which is difficult and time-consuming. As a result, automotive companies are unable to use the data to help solve common problems like spotting fleet-wide issues before they become a bigger problem, tailoring infotainment content, and using data to improve vehicle performance. AWS IoT FleetWise provides automotive companies with a managed service that makes it easier to collect, transform, and transfer data from millions of vehicles to the cloud in near real time. With AWS IoT FleetWise, automotive companies can access, structure, and standardize proprietary vehicle data without needing to develop custom data-collection systems. Customers can also integrate with AWS IoT FleetWise to enhance their existing systems. Automotive companies can get started in the AWS Management Console by defining and modeling vehicle attributes (e.g., a two-door coupe) and the sensors associated with the car’s make, model, and trims (e.g., engine temperature, front-impact warning, parking assist system) for individual vehicle types or multiple vehicle types across their entire fleet. After vehicle modeling, automotive companies can connect the AWS IoT FleetWise application via the vehicle gateway (i.e., in-vehicle communications hub that monitors and collects data) or other data collection hubs in the vehicle, so it can read, decode, and transmit information to and from AWS. With AWS IoT FleetWise’s intelligent data-collection controls, automotive companies can select the exact data they need for their use cases and limit the amount of data transferred to the cloud by creating conditional rules (e.g., sensor data from hard-braking events associated with a vehicle make and model). Once data is transferred to the cloud with AWS IoT FleetWise, automotive companies can use AWS’s breadth and depth of analytics and machine learning services to extract value from vehicle data. For example, automotive companies can collect data from electric-vehicle batteries when the temperature drops below freezing and then analyze it and run simulations in the cloud to improve battery performance in cold weather. The new AWS IoT FleetWise service is part of AWS for Automotive, a comprehensive offering of AWS services and AWS Partner Network (APN) solutions used by automotive and mobility customers globally to help automotive customers digitally transform their business for connected mobility, digital customer engagement, product design and engineering, manufacturing, and supply chain. For more information about AWS for Automotive, visit aws.com/automotive. AWS IoT FleetWise with standard vehicle data collection is generally available today in US East (N. Virginia) and Europe (Frankfurt), with availability in additional AWS Regions coming soon. Bridgestone is a global leader in tires and rubber, offering a diverse portfolio of premium tires and advanced solutions, improving the way people around the world move, live, work, and play. “Bridgestone has been working with AWS to transform the digital services we provide to our automotive manufacturer, fleet, and retail customers,” said Brian Goldstine, president, mobility solutions and fleet management at Bridgestone Americas, Inc. “We look forward to exploring how AWS IoT FleetWise will make it easier for our customers to collect detailed tire data, which can provide new insights for their products and applications.” Hyundai Motor Group (HMG) is a global vehicle manufacturer that offers consumers a technology-rich lineup of cars, sport utility vehicles, and electrified vehicles. “As a leading global vehicle manufacturer, we have come to appreciate the breadth and depth of AWS services to help create new connected vehicle capabilities,” said HaeYoung Kwon, vice president and head of the infotainment development group at HMG. “With more data available from our expanding global fleet of connected cars, we look forward to leveraging AWS IoT FleetWise to discover how we can build more personalized ownership experiences for our customers.” LG CNS is a leader in cloud, artificial intelligence, and big data technologies that are transforming smart transportation services. “At LG CNS, we are committed to advancing the technology that is powering the future of transportation,” said Jae Seung Lee, vice president at LG CNS. “By using AWS IoT FleetWise, we are creating a new data platform that allows us to ingest, analyze, and simulate vehicle conditions in real time. With these advanced insights, our customers can gain a better understanding of their vehicles and, as a result, improve decision-making about their fleets.” Renesas Electronics Corporation is a global leader in microcontrollers, analog, power, and system-on-chip (SoC) products. “The volume of connected vehicle data is forecast to increase dramatically over the next few years, driven by new and evolving customer expectations. As a result, Renesas is focused on addressing the needs of automotive engineers facing increasing system complexity,” said Yusuke Kawasaki, director at Renesas Electronics Corporation. “Incorporating AWS IoT FleetWise into our vehicle gateway solution will enable our customers to enjoy our market-ready approach for large-scale data collection and accelerate their cloud development strategy. We look forward to collaborating further with AWS to provide a better and simpler development environment for our customers.” About Amazon Web Services For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 87 Availability Zones within 27 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, Canada, India, Israel, New Zealand, Spain, and Switzerland. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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ENTERPRISE IOT

SES-imagotag Partners with Instacart to Augment Shopping Experiences with VUSION IOT Technology

SES-imagotag Inc | September 21, 2022

SES-imagotag, the global leader in digital solutions for physical and hybrid retail announced a partnership with Instacart, the leading grocery technology company in North America. The partnership will integrate SES-imagotag's cutting edge in-store technologies like digital price tags and the VUSION Retail IOT cloud platform into retail stores to make the shopping process seamless for grocers and consumers. Searching for a single product on a shelf can be time consuming. With SES-imagotag's VUSION IOT retail cloud platform and digital price tags, customers will be able to significantly reduce the time they spend picking items with precise product geolocation, maps that provide optimized pick-up paths and 180-degree blinking LED lights. "We're at a pivotal moment in retail as hybrid shopping – or shopping in-store augmented with an online component – becomes the norm, At SES-imagotag, we believe physical stores are the ideal local logistics network for quick deliveries and order pick-ups. The VUSION IOT platform enables stores to become a logistics hub, combining the ease and speed of the internet with the proximity and convenience of physical local stores to enhance in-store retail operations. We look forward to partnering with Instacart to support shoppers, customers and retailers operationally as demand for hybrid retail skyrockets." Philippe Bottine, North American CEO of SES-imagotag The last three years have shown a complete paradigm shift in the way consumers shop. From a pandemic-induced rush to ecommerce to today's hybrid preference, millions of consumers now rely on services like Instacart to get their favorite products and essentials from local stores quickly. With enhancing technology like SES-imagotag's VUSION Retail IOT cloud platform, customers can get their preferred products and support their favorite local stores faster than ever before. About SES-imagotag: SES-imagotag is the world leader in smart digital labels and IoT solutions for physical retail, serving over 300 large retailer groups around the world in Europe, Asia and North America. SES-imagotag has developed the VUSION Retail IOT technology platform to help retailers transform their physical stores into high value digital assets, more automated, data-driven, and connected in real-time to suppliers and consumers. VUSION improves the agility, precision and accuracy of prices, while ensuring the omnichannel synchronization of prices, product information and marketing campaigns. The platform also optimizes in-store order preparation and restocking. VUSION improves employee satisfaction by freeing up time from cumbersome low-value tasks and allowing employees to focus on customer service and merchandising. VUSION connects shelves to the Cloud, providing real-time accurate information on product availability and location, allowing for reduced inventory, out-of-stock and waste, as well as improved on-shelf availability and merchandising compliance. VUSION empowers consumers with better product, nutritional and traceability information at the shelf and enables a frictionless in-store shopping experience with features such as product search, pathfinding and cashier-less scan & pay features. SES-imagotag supports the United Nations' Global Compact initiative and has received in 2022 the Gold Sustainability Rating from EcoVadis, the world's reference of business sustainability ratings.

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ENTERPRISE IOT

XPENG G9 Equipped with Dual Automotive-Grade LiDAR Sensors from RoboSense

RoboSense | September 29, 2022

RoboSense, a world-leading provider of Smart LiDAR Sensor Systems announced XPENG G9 equipped with two RoboSense second-generation Smart Solid-state LiDARs (RS-LiDAR-M1). On September 21, XPENG Motors held the “G9 Flagship SUV Immersive Experience” online launch event and officially launched XPENG G9. XPENG G9 is positioned as “the world’s Fastest-Charging electric SUV”. It achieved a breakthrough and went going from development of “independent functions” to “global intelligence”. G9 further demonstrates XPENG’s innovation in the field of intelligence. From the early functions of autonomous parking, voice control to driver assistance, G9 uses XPENG’s second-generation ADAS, XNGP, equipped with two RoboSense second-generation smart solid-state LiDARs, to realize full-scenario intelligent driver assistance. The sensing system of the X Version of G9 uses 31 sensors. In particular, two RoboSense second-generation smart solid-state LiDARs are deployed under the headlights on both sides of the vehicle, covering 180° horizontal view, effectively reducing the size of vertical blind spots and thus tackling various complex driving scenarios in urban areas more effectively. This greatly improves the intelligent driving experience of G9, enabling it to run gracefully in the bustling traffic in urban scenarios. With two smart solid-state LiDARs to boost performance, XNGP ADAS integrates new-generation visual perception and sensor fusion technologies, more powerful computing algorithms and decision-making and planning capabilities, which will achieve full coverage of daily driving scenarios including highways, urban expressways/main trunk roads/sub trunk roads, parks roads and parking lots and connect points such as high-speed toll stations, parking lot gates, etc. to become an advanced intelligent driver-assistance system that meets the daily commuting needs. In accordance with strict passenger vehicle automotive-grade standards, RoboSense second-generation smart solid-state LiDAR has passed a series of reliability tests and fully meets the safety, reliability, service life and other requirements of XPENG G9 in high-speed and urban complex road scenarios. With its leading technological strengths in the field of LiDAR, RoboSense has obtained design wins for more than 50 models from companies including XPENG, Great Wall Motor, BYD, FAW Hongqi, GAC AION, ZEEKR, WM Motor, Lotus Cars, Lucid Motors, Inceptio Technology and Zhito Technology. RoboSense will always pursue technological innovation and keep promoting the large-scale production of smart vehicles. About RoboSense RoboSense (Suteng Innovation Technology Co., Ltd.) is a world-leading provider of Smart LiDAR Sensor Systems. With a complete portfolio of LiDAR sensors, AI perception and IC chipsets, RoboSense transforms conventional 3D LiDAR sensors with comprehensive data analysis and interpretation systems. About XPeng Inc. XPeng is a leading Chinese Smart EV company that designs, develops, manufactures, and markets Smart EVs that appeal to the large and growing base of technology-savvy middle-class consumers. Its mission is to drive Smart EV transformation with technology and data, shaping the mobility experience of the future.

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