Quantized vs. Full-Precision YOLO Models on Edge Devices: A Performance Benchmark for Real-Time License Plate Detection in Smart Parking Systems
This study evaluates the impact of model architecture, numerical precision, and input resolution on both inference latency and detection performance in a multi-stage ALPR pipeline, demonstrating that optimal system design requires a joint consideration of hardware characteristics, model architecture, and quantization s...