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Vision
Overview
Overview
Renesas’ Vision AI delivers high‑performance, low‑power computer vision through its DRP‑AI accelerator of MPUs and scalable lineup of MCUs, enabling efficient processing for applications ranging from building automations, industrial inspection, and to robotics. The extensive library of pre‑trained models and developer‑friendly workflows allows all skill levels to rapidly prototype and deploy vision solutions at the edge.
Applications
DetectNet_v2, an object‑detection model optimized for real‑time embedded systems. Using a ResNet‑18 backbone exported to ONNX for DRP‑AI compatibility, supports pruning & QAT through the Renesas AI Model Deployer (RAIMD), enabling efficient, high‑performance inference without TensorRT plugin layers.
MobileNet_v2, a lightweight image‑classification model optimized for real‑time embedded applications. Using a MobileNet_v2 backbone exported to TFLite for tflite‑micro and accelerated by the Cortex‑M85 Helium MVE on RA8D1, it supports pruning and configurable hyperparameters through the Renesas AI Model Deployer (RAIMD).
Real‑time face detection using the RUHMI Framework, capturing camera images and identifying faces with a lightweight neural network. Results appear on an LCD with bounding boxes.
Real‑time face detection using RUHMI Framework. Camera captures frames, a lightweight neural network detects faces, and bounding boxes are drawn on an LCD.
Multi Modal Combos
E-delivery robots with AI-driven autonomy, predictive maintenance, and advanced sensor fusion for safer, smarter, and more efficient urban deliveries.
Renesas has introduced a software-based smart washing machine concept to enhance performance in user interaction and motor reliability.
E-delivery robots with AI-driven autonomy, predictive maintenance, and advanced sensor fusion for safer, smarter, and more efficient urban deliveries.