AI-Powered Camera Sensors

Computing at the Edge:
Smart Cameras, Robotic Vehicles and End-Point Devices

White Paper Download

This white paper defines a new paradigm for on-device integrated AI-camera sensor co-processor chips. The chips’ built-in high-processing power and memory allow the machine- and human-vision applications to operate much faster, more energy-efficiently, cost-effectively, and securely without sending any data to remote servers.

“Edge AI vision-based processing is on the rise for smart devices, such as smartphones, automotive and consumer electronics. Having a dedicated AI co-processor on the device offers numerous benefits including enhanced vision quality, higher performance, improved privacy, reduced bandwidth and latency, less CPU computational load, efficient energy use, and less BOM cost.  These features are invaluable particularly for edge 5G-enabled applications such as smart IoT and mobile endpoint devices”

Gain insights into the Intelligent Transportation landscape, industry issues, and the direction of the autonomous vehicle market. Highlights include:

  • Intelligent Transportation Systems Benefits
  • Key challenges of intelligent transportation
  • Enabling technology
  • Network architecture
  • Conclusions and recommendations

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