Discover How NEXCOM Vehicular Solutions with Google Coral Promise Sophistication and Efficiency
NEXCOM is thrilled to present its series of Google Coral AI Edge telematics solutions, featuring the Edge TPU Accelerator. Coral allows you to quickly, efficiently, and securely perform inference at the edge, avoiding the additional time and costs of uploading to a centralized cloud. With our collaboration with Google, we’ve created all-in-one AI ecosystems that support several specific use cases in the transportation and public works sectors, including object detection and condition monitoring. Our Coral-enhanced solutions currently include the nROK 6222, nROK 7252, VTC 6222, VTC 7251, and MVS 2623.
Small but Sophisticated: The Coral Edge Accelerator
The onboard Google Edge AI accelerator ASIC is small but sophisticated enough to perform inference with big data and deep neural networks. Yet its compact, mini PCIe form factor allows it to be energy efficient, space saving, and lower cost especially as compared to other competitors’ solutions. Developers and system integrators that are already familiar with other Google Cloud services will enjoy seamless, end-to-end infrastructure integration.
What’s more, Google Coral TPUs use the proprietary TensorFlow Lite, an open-source machine learning inference framework, to train new or pre-existing models for deployment on any of our Google Coral AI Edge telematics solutions. Using the framework locally on our platforms means lower latency, less time, and more privacy, enabling you to complete modeling and learning tasks more quickly and securely.
A Partnership Guided by Forward-Thinking Transformation
NEXCOM’s array of Google Coral AI accelerator solutions emphasize deep learning for increased transportation safety and efficiency. For instance, the telematics gateways’ PoE ports support IP cameras for continuous onboard surveillance, yet also combine with optical character recognition (OCR) for automatic number-plate recognition (ANPR) capabilities. Along the same vein, people counting and tracking functions integrate with GPS positioning to provide valuable data such as load factors and passenger usage, without incurring unnecessary human labor expenditures. Smart sensors provide another layer of safety by learning to detect foreign objects – and thus avoid accidents. The control center can utilize this information to manage traffic at intersections. All of the aforementioned examples are just a few of the many ways to partner AI with transportation to create a more advanced and more unified smart city.
Count On NEXCOM Solutions for Reliability and Longevity
All of our Google Coral AI Edge telematics solutions are based on dependable Intel® CPUs (Atom or Core) to deliver high processing power. Our rugged computers are also durable and intended for harsh environments, built to MIL-STD-810G vibration and shock standards, and with a wide operating temperature range of -20 or -30 to 60°C. The heat sink and thermal dissipation functions keep the computer from overheating while under heavy processing loads. Moreover, our solutions are easy to install, as Debian Linux fans will be able to program without difficulty.
This article was originally published by NEXCOM.
NEXCOM is a Titanium member of the Intel® Partner Alliance, as a top tier of the Alliance. Intel and more than 500 global IoT partners of the Intel® Partner Alliance provide scalable, interoperable Intel® -based technologies and solutions that accelerate deployment of intelligent devices and end-to-end analytics. Close collaboration with Intel and each other enables Alliance members to innovate with the latest technologies, helping developers deliver first in-market solutions.
