LogicTronix had worked with AMD and Prophesee to develop Event Vision Based Machine Learning Solution for Road Traffic Analytics (SmartCity) Application. LogicTronix solution is based on IMX636 Dynamic vision sensor (DVS) from Prophesee-Sony which is neuromorphic sensor. IMX636 is 0.92 M pixels event sensor: 1280 (H) x 720 (V) and available in MIPI as well as USB form factor.

We have trained Yolov7 , Yolov4 and few more custom CNN with eTRAM and custom event based dataset for this vehicle detection and tracking application. We also have public our Event based ML work at Github – Kria-Prophesee-Event-VitisAI.

Neuromorphic ML application with FPGA and Prophesee IMX636

LogicTronix also has accelerated the sensor data capture pipeline (histogram generation) along with neural network acceleration to get higher performance and accuracy.

Histoframe and ML acceleration for neuromorphic solution - prophesee
Fig. Histoframe and ML acceleration for neuromorphic edge AI solution with Prophesee IMX636


Know more about the Neuromorphic solution:

LogicTronix Kria App developed in collaboration with AMD and Prophesee “Object Detection and Tracking with Event Vision-Based Sensors” : https://www.amd.com/en/developer/resources/kria-apps/object-detection-and-tracking.html


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