Do we know where nViso gets their MCUs?Hi D
You thinking a potential tie in with someone in particular
Akida 1500 could work with MCUs. All that is needed is sufficient processing power and memory to enable configuration of Akida and to handle the output from Akida.
We know Renesas has a licence for 2 nodes (8 NPUs), but I don't know how many nodes are required for nViso's functions like face recognition.
nViso is a BrainChip partner, so it may not need a licence:
BrainChip and NVISO are targeting battery-powered applications in robotics and mobility devices addressing the need for high levels of AI performance in ultra low power environments. Implementing NVISO’s AI solutions with BrainChip’s Akida drive next generation solutions.
This is another signpost to Akida:
NVISO NEURO MODELS™
ULTRA-EFFICIENT DEEP LEARNING AT THE EDGE
NVISO Neuro Models™ are purpose built for a new class of ultra-efficient machine learning processors designed for ultra-low power edge devices. Supporting a wide range of heterogenous computing platforms ranging from CPU, GPU, DSP, NPU, and neuromorphic computing they reduce the high barriers-to-entry into the AI space through cost-effective standardized AI Apps which work optimally at the extreme edge (low power, on-device, without requiring an internet connection). NVISO uses low and mixed precision activations and weights data types (1 to 8-bit) combined with state-of-the-art unstructured sparsity to reduce memory bandwidth and power consumption. Proprietary compact network architectures can be fully sequential suitable for ultra-low power mixed signal inference engines and fully interoperable with both GPUs and neuromorphic processors.
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