Pattern recognition (psychology)

Chip

Operating system

Computer science

Surface-mount technology

Engineering

Component (thermodynamics)

Object detection

Computer vision

Mechanical engineering

Mount

Telecommunications

Thermodynamics

Real-time computing

Microcomputer

Artificial intelligence

Conveyor belt

Printed circuit board

Physics

Applied Sciences

The presented research addresses the real-time object detection problem with small and moving objects, specifically the surface-mount component on a conveyor. Detecting and counting small moving objects on the assembly line is a challenge. In order to meet the requirements of real-time applications, state-of-the-art electronic component detection and classification algorithms are implemented into powerful hardware systems. This work proposes a low-cost system with an embedded microcomputer to detect surface-mount components on a conveyor belt in real time. The system detects moving, packed, and unpacked surface-mount components. The system’s performance was experimentally investigated by implementing several object-detection algorithms. The system’s performance with different algorithm implementations was compared using mean average precision and inference time. The results of four different surface-mount components showed average precision scores of 97.3% and 97.7% for capacitor and resistor detection. The f...

A System for a Real-Time Electronic Component Detection and Classification on a Conveyor Belt