The AI system scans images using trained neural networks that recognize patterns and shapes. It processes pixel data to locate objects, then draws bounding boxes around each item. The system assigns confidence scores and class labels (like 'person' or 'vehicle') to each detected object, providing both location and identification information.
Object Detection
Object detection is an AI technology that finds and identifies specific items within images or video. It draws boxes around detected objects and labels what each item is, like finding cars, people, or products in photos.
HOW IT WORKS
How Object Detection Works
APPLICATIONS
Use Cases
Manufacturing
Automated quality control systems detect defects, missing parts, or incorrect assemblies on production lines without human inspection.
Healthcare
Medical imaging systems identify tumors, fractures, or abnormalities in X-rays, CT scans, and MRI images.
Retail
Smart checkout systems automatically identify products customers purchase, eliminating the need for manual scanning or cashiers.
Transportation
Autonomous vehicles and traffic management systems detect pedestrians, other vehicles, road signs, and obstacles for safety.
Construction
Safety monitoring systems identify workers without hard hats, detect equipment violations, and monitor hazardous work conditions.
Agriculture
Crop monitoring drones identify pest infestations, disease outbreaks, and ripe produce ready for harvest across farmland.
Explore All Object Detection Use Cases
Browse the full library of real-world object detection applications.
View All