EDGE DEVICE OPTIMIZATIONS

Optimized inference for edge devices

Our cutting-edge deep learning algorithms are designed to run seamlessly on ARM, FPGA, or RISC-V chips. By creating remarkably compact DL models, we’ve successfully integrated AI into these platforms. For instance, our highly optimized people detection solution for FPGA is a mere 600 Kb in size, showcasing our commitment to efficiency and performance.

Optimized inference for edge devices
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