SOFTWARE AND TOOLS
Goodix | May 19, 2022
Today, Goodix Technology showcased its expanded product portfolio with major breakthroughs in sensing and connectivity solutions at the 2022 Goodix Tech Seminar in Shenzhen, China. Based on the company's strategic layout, Goodix continues to invest heavily in core technologies that drive innovation in IoT applications for a new era of smart connectivity. Two highlights of the seminar were the introduction of the new Bluetooth LE SoC and Time of Flight (ToF) solutions.
Featured Innovation Accelerates the Connection of Everything
In recent years, the major theme of new technological developments features heavily within the Internet of Things (IoT) field, which has caused widespread transformation within a wide array of industries. Recent data from IoT Analytics expected that the global number of connected IoT devices are to grow at a CAGR of 22% to 27 billion active endpoints by 2025, bringing huge market opportunities for smart wearables, smart home, and smart city connectivity applications.
Leveraging years of innovation in low-power wireless technology, Goodix debuts its new-generation Bluetooth LE SoC GR5526 series featuring stronger display driving capability, lower power consumption and faster connection. The solution integrates a dedicated 2.5D GPU to improve graphics rendering efficiency, and supports over 30 FPS on a 454*454 resolution display screen, enabling a superior visual experience for wearable device users. An ultra-low power system architecture is adopted to reduce the power consumption during Bluetooth transmission by 30% compared with previous generation products. Compatible with the latest Bluetooth 5.3, the solution delivers excellent RF performance for a more stable and rapid connection. Goodix is dedicated to innovating Bluetooth LE technology with a new GR533x series targeted at the smart home, smart tag markets to be released soon.
Additionally, Goodix's NB-IoT SoC solution that integrates an OpenCPU application system has been successfully applied to smart water meters in a joint cooperation with renowned industrial partners. Its innovative dual AP/CP core architecture not only improves the system stability and connection reliability, but also ensures ultra-low power consumption that can support the long battery-life of smart meters. Featuring high integration, ease of use, and competitive BoM cost, this solution will further extend Goodix's footprint in the broader IoT market.
Aiming to build an open IoT ecosystem, Goodix will continue to work with industry partners, and support mainstream integrated development environment (IDE) with rich peripheral resources to help customers accelerate the time-to-market of different wireless applications.
Creating a Smart Life with Diversified Sensing Applications
With strong expertise in acoustics, optics, and electronic sensing technology, Goodix stands at the forefront of the advancing sophistication of IoT applications.
During the seminar, Goodix demonstrated its Time of Flight (ToF) 3D sensing solution which integrates a ToF image sensor and a laser driver to enable high-precision depth measurement for various applications such as smartphones and robots. Utilizing a self-developed sparse to dense algorithm, the solution offers a 5-meter with error<1% high-precision ranging performance with low power consumption, facilitating smartphones to create a more accurate photo bokeh effect and a faster focusing capability at night. It also supports the functions of simultaneous localization and mapping (SLAM) and obstacle avoidance for intelligent navigation of sweeping robots with its combination solution of line-pattern and flood-pattern.
The ToF sensor features several patented technologies to help smart devices achieve better ambient light suppression, anti-interference, and high dynamic range (HDR). Together with an extensive set of hardware and software, reference designs, algorithms, and SDKs, Goodix can deliver turn-key solutions to enable the wider applications of ToF technology such as drone aircraft obstacle avoidance and height measurement, as well as facial recognition, and automobile safety.
In response to the strong growth of the wearable markets, Goodix has launched a rich solution portfolio of health sensors and VersaSensor (multi-functional interactive sensors) for smartwatches, bands, headphones, and VR/AR devices, and won large-scale commercial adoption by well-known global brands. As a step further, Goodix introduces its fingertip oximeter total solution that deploys the medical grade algorithms. Cooperating with related applications, it can provide effective health instructions and disease diagnosis & alerts for users at home.
We have always emphasized the principle of growing together with customers. We have an unwavering focus on our core technologies of sensing, processing, connectivity, and security. And in these fields, we will continue to create powerful collaborations with industrial leaders and ecosystem partners. Our aim is to expand commercial implementations of these innovative technologies and to bring a more intelligent, and connected life for consumers around the world."
Sandy Hu, President of Goodix.
SOFTWARE AND TOOLS
UserTesting | March 28, 2022
UserTesting (NYSE: USER), a leader in video-based human insight, today released new test templates for the UserTesting Human Insight Platform that enable companies to see first-hand how people experience the Internet of Things (IoT) and other connected devices. As more devices become linked via the Internet and cloud computing and the expectations of customers change, there is a heightened need for companies to understand how people interact with and react to these connected devices and new experiences.
As the number of IoT devices increases, forecasted to nearly triple from 8.74 billion in 2020 to more than 25.4 billion IoT devices in 2030, companies are innovating the means in which they interact with their customers – from VR headsets and self-driving cars, to wearable devices and smart home assistants and appliances. The increase in connected devices in both business and consumer worlds presents more opportunities for brands to engage with customers. Companies can gain a great deal of value through learning how their customers utilize and benefit from connected devices, and UserTesting’s new templates help companies provide greater experiences for their customers.
UserTesting’s connected device templates provide companies a competitive advantage by giving them access to a more complete picture of their customers’ expectations in their use of connected devices. For example, a large commercial airline has been using UserTesting to develop a new voice assistant feature with insights gathered around travelers’ information needs. Understanding needs, frustrations, assumptions and more is crucial to building a best-in-class device experience and the ability to elevate the connected experience to a new level. The latest templates feature pre-built sample questions that organizations can use as-is or customize to fit their exact testing requirements.
Digital transformation is accelerating, more consumers are connected via their devices, and companies want to know how to meet customer expectations in ways they couldn’t have anticipated. Research by the McKinsey Global Institute shows the Internet of Things has the potential to grow in value between $5.5 trillion to $12.6 trillion by 2030. Companies mastering the Internet of Things early have a decided advantage in opening new markets and meeting customer demands.”
Janelle Estes, Chief Insights Officer of UserTesting.
Companies that struggle to capture the value of IoT can turn to the templates to gain rapid user feedback using UserTesting’s technology to better understand how digitally connected devices perform. UserTesting provides video recordings of actual interactions of customers who have opted in to share their perspectives and experiences as they execute a pre-built series of tasks and instructions online.
The new connected device templates add to the more than 100 pre-built testing templates available on the UserTesting Human Insight Platform.
UserTesting has fundamentally changed the way organizations get insights from customers with fast, opt-in feedback and experience capture technology. The UserTesting Human Insight Platform taps into our global network of real people and generates video-based recorded experiences, so anyone in an organization can directly ask questions, hear what users say, see what they mean, and understand what it’s actually like to be a customer. Unlike approaches that track user behavior then try to infer what that behavior means, UserTesting reduces guesswork and brings customer experience data to life with human insight. UserTesting has more than 2,300 customers, including more than half of the world’s top 100 most valuable brands according to Forbes.
InfluxData | June 20, 2022
InfluxData, creator of the leading time series platform InfluxDB, today announced Edge Data Replication, a new capability for centralized business insights in widely distributed environments. Edge Data Replication enables developers to collect, store and analyze high-precision time series data in InfluxDB at the edge, while replicating all or subsets of this data into InfluxDB Cloud. With Edge Data Replication, InfluxData delivers on both platform breadth and simplicity, scaling time series data processing in a new way that embraces the precision of the edge and the power of the cloud.
Modern applications are highly distributed across architectures and produce enormous volumes of time series data at the edge. Effectively managing the data in these applications and associated assets is a time-consuming, resource-intensive process, and developers often don’t have the capabilities or budgets to manage hundreds or thousands of data pipelines. InfluxDB Edge Data Replication changes the way developers and operators process time series data across distributed environments using a new edge database configuration that durably queues and mirrors select datasets to the cloud. The availability of Edge Data Replication marks a critical first step in InfluxData’s journey to solve key time series data integration and orchestration challenges for customers building distributed Industrial and Internet of Things (IoT) applications in energy, manufacturing, aerospace, and other high-tech industries.
"Data has gravity, and much of it is created far from clouds and data centers. This pulls applications out to the edge, where the data is born and produces its greatest value. Unfortunately, most databases don’t acknowledge or respect these emerging hybrid edge-cloud environments,” said Rick Spencer, Vice President of Products, InfluxData. “Edge Data Replication sets a new benchmark for time series platforms by combining the power of cloud with the precision of the edge – a best of both worlds solution that’s key to tomorrow’s distributed applications.”
According to Gartner, “Enterprises are now employing machine learning models and computing at the edge in order to preprocess data rather than just migrating data to the cloud. Rather than one-way archiving, early adopters are doing multidirectional synchronization of data between edge, core data center and public cloud. Two-way synchronization allows enterprises to make use of the elastic nature of the compute infrastructure found among cloud service providers. Furthermore, with the upcoming expansion of edge computing, there will be a growing need for solutions that enable data workflow among edge, storage and multiple public cloud providers.”*
Unlock Centralized Business Insights with Edge Data Replication
InfluxData’s Edge Data Replication creates a new and intuitive experience for developers building at the edge by allowing data from an InfluxDB instance to automatically replicate to InfluxDB Cloud with a simple configuration setting. By leveraging Edge Data Replication in tandem with the full power of the InfluxDB platform, including Flux, InfluxDB’s native data scripting language, users can:
Integrate edge and cloud DataOps: Connect edge and cloud workloads to automatically mirror data from InfluxDB edge sources to InfluxDB Cloud instances in real-time.
Reduce cloud ingress and egress costs: Filter and aggregate data intelligently from InfluxDB at the edge before replicating it to InfluxDB Cloud. Downsampling data with Edge Data Replication delivers faster processing and reduced transfer costs.
Transform data before transfer: Dynamically add context to edge data that is needed for processing in the cloud. Cloud processing may require extra dimensions to query on or feature engineering.
Enforce edge/cloud consistency: Withstand planned and unplanned disruptions in network connectivity by queueing data at the edge until it can be safely transferred to the cloud.
Full data workflow at the edge: Full support for applications at the edge by enabling data preprocessing close to the data sources.
“Loft Orbital’s mission is to deliver space infrastructure as a service to give our customers rapid access to space, Our network edge extends onto our spacecraft in low Earth orbit, requiring real-time access to highly distributed mission-critical data. With Edge Data Replication, it’s easier than ever for us to centralize our time series data while ensuring we don’t lose data from edge storage locations.”
Caleb MacLachlan, Head of Software Integration, Loft Orbital
“Every year there are 10 times more IoT edge devices deployed. Developers know that expectations for consistency, efficiency, and reliability are growing at a similar rate,” said Rick Spencer, InfluxData. “With this kind of scale, IoT developers need excellence in local operations, taking advantage of granular data for real-time insights and control, while also having a centralized view across all of the edge operations, sometimes at an enormous scale. The combination of Edge Data Replication, InfluxDB at the edge, and InfluxDB Cloud makes building such IoT applications not only possible, but also incredibly simple.”
InfluxData is the creator of InfluxDB, the leading time series platform. We empower developers and organizations, such as Cisco, IBM, Siemens and Tesla, to build real-time IoT, analytics and cloud applications with time-stamped data. Our technology is purpose-built to handle the massive volumes of data produced by sensors, systems or applications that change over time. Easy to start and scale, InfluxDB gives developers time to focus on the features and functionalities that give their apps a competitive edge. InfluxData is headquartered in San Francisco, with a workforce distributed worldwide.
SOFTWARE AND TOOLS
KeepTruckin | April 12, 2022
KeepTruckin has changed its name to Motive, underscoring its expanded focus and direction. Alongside its rebrand, Motive has launched the Automated Operations Platform, a combination of IoT hardware and AI-powered applications that connect and automate physical operations.
The global middle class has tripled over the last 20 years to more than 1.7 billion people. As incomes rise, so does consumption — more energy, more food, more housing, more manufactured products. More of everything. But it’s not just consumption that’s on the rise. Expectations around quality, reliability, and speed of delivery are higher than ever. This exponential increase in demand combined with continuously rising expectations is placing unprecedented strain on the industries that power the physical economy — agriculture, manufacturing, construction, field services, trucking and logistics, and many more are struggling to keep up.
“Almost 50% of global GDP comes from the physical economy,” said Shoaib Makani, CEO of Motive. “And yet, it has been largely ignored by the technology industry.”
Founded in 2013, Motive builds technology to improve the safety, productivity, and profitability of physical operations. While its early customers were trucking companies, today Motive serves a broad range of industries across the physical economy.
“Changing our name to Motive better reflects the diversity of customers we serve and problems we solve,” said Makani.
To address the needs of its expanding customer base, Motive has launched the Automated Operations Platform. The platform combines IoT hardware with AI-powered applications that automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more.
“Our technology provides businesses with real-time visibility into their operations and enables AI-based automation of key workflows. By identifying the risks, problems, and opportunities companies have, and automatically taking actions on behalf of managers, Motive’s applications improve the safety, productivity, and profitability of physical operations.”
Jai Ranganathan, Chief Product Officer at Motive.
Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.