Model Type
Object Detection
Framework
TensorFlow Lite
Algorithm
Ultralytics YOLOv8n (TFLite Quantized)
Technical Details
This unit performs object detection using a quantized YOLOv8n model exported to TensorFlow Lite by Ultralytics. It processes static RGB images or video frames to return bounding boxes with class labels. Designed for real-time inference on edge CPUs and NPUs. Class mapping is provided via metadata.json. Ideal for security, safety, and visual AI tasks in constrained environments.
