Computer Vision

Computer Vision

Make your systems see. Image recognition, real-time object detection, video analytics, and automated visual inspection — deployable at the edge or in the cloud for any industry.

Person 97%Vehicle 93%Live • Objects: 2 • 30 FPS • Latency: 12msReal-time Object Detection

คุณสมบัติหลัก

Image Recognition

Classify objects, scenes, faces, and patterns in images with 99%+ accuracy.

Object Detection

Real-time detection and tracking across live video streams at 30+ FPS.

Video Analytics

Crowd counting, behavior analysis, traffic monitoring, and anomaly detection in video.

Quality Inspection

Automated visual QC on production lines — faster and more consistent than human eyes.

ขั้นตอนการทำงาน

1

Requirements

Define what needs to be seen, detected, or classified and why.

2

Data Collection

Gather and annotate training images for your specific environment.

3

Model Training

Train and fine-tune vision models on your labeled dataset.

4

Deployment

Deploy on edge devices, cameras, or cloud — whichever fits your latency needs.

เทคโนโลยีที่ใช้

OpenCVYOLO v8TensorFlowPyTorchNVIDIA JetsonAWS RekognitionAzure VisionEdge AI

ประโยชน์ที่ได้รับ

Detection accuracy above 99%
Real-time processing at 30+ FPS
Human inspection labor reduced dramatically
Consistent quality with zero fatigue
Deployable on edge hardware or cloud
Works across retail, manufacturing, logistics

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