VIA Technologies showcases Edge AI systems with facial recognition for cars, IoT, smart cities

VIA Technologies recently highlighted its core facial and object recognition technologies as part of a showcase of its high-performance Edge AI systems for the automotive, enterprise IoT, and smart city markets at its global headquarters in Taiwan.

VIA Edge AI systems are powered by system-on-chip (SoC) platforms including the Qualcomm Snapdragon 820E embedded platform and the NVIDIA Jetson TX2 module, and can be optimized for different applications by integrating VIA Smart Facial Recognition, VIA Mobile360 ADAS (Advanced Driver Assistance System), and VIA Mobile360 Surround View Computing Vision technology platforms, according to the announcement.

“Edge AI systems that can see, hear, understand, and respond to their surrounding environment in real-time without having to rely on connections to the cloud provide the key to boosting innovation and creating engaging new customer services and experiences in industries as diverse as transportation, retail, entertainment, and medical,” commented Epan Wu, General Manager of the VIA Embedded Division. “With their scalable, high-performance designs, VIA Edge AI Systems will unlock the unlimited potential of artificial intelligence for transforming the world we live in.”

Intelligent video AI applications enabled by Edge AI systems include emotion, age, and gender detection and people counting and tracking for security, surveillance, and customer engagement systems.

VIA also says it has initiated development of the world’s fastest Neural Network Inferencing Engine, architecturally optimized for real-world AI applications and featuring 16MB SRAM internal memory, 16 TB/s internal bandwidth, and 16 TOP/s. The system also supports 8b and 16b quantized-integer inference compatible with Google’s 8b TensorFlow Lite.

“The VIA Neural Network Inferencing Engine promises to provide the most powerful solution for accelerating deep learning inference applications like image recognition, speech recognition, and natural language processing,” concluded Wu. “With its unmatched performance, it will drive the emergence of new generation of Edge AI devices that will inspire a wave innovative new applications and services that will transform the world we live in.”

The company also debuted its Smart Recognition Platform at Embedded World 2018 in February.

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