The main application areas of machine vision

As an important branch of artificial intelligence, machine vision has been widely used in many industries to achieve the perception, understanding and analysis of images and videos by simulating human vision systems. Here are the main applications of machine vision in various fields:

1. Industrial manufacturing

Quality inspection and defect identification

Electronics manufacturing: PCB board solder joint detection, semiconductor chip defect identification (accuracy up to 0.15mm), display screen dead pixel detection
Automotive manufacturing: Defect detection of body paint (missed detection rate reduced to 0.1%), measurement of parts size (accuracy ± 0.02mm)
Typical case: The inspection speed of a mobile phone screen factory has been increased from 30 pieces per hour to 800 pieces per hour

Automated assembly and precision positioning

3C industry: mobile phone camera module assembly (alignment error ≤5μm), laptop keyboard installation
Automobile manufacturing: engine block bolts are tightened and aligned, and the glass is aligned with the body

Industrial robot guidance

The 3D vision-guided robotic arm realizes micron-level correction
The demand value of a single GWh production line in the new energy lithium battery pole slitting scenario is 7 million yuan
2. Medical and health field

Disease diagnosis

Early detection of cancer: breast cancer, lung cancer, etc. are analyzed by X-ray/MRI images
Pathological image analysis: Deep learning model identifies cancer cells (8% more accuracy).
Ophthalmic diseases: diabetic retinopathy screening, glaucoma detection

Surgical assistance

Navigation endoscopic surgery locates diseased tissue in real time
Visual feedback system for surgical robots

Patient management

The smart ward monitors the physiological state of patients
Real-time analysis of wearable device data
3. Transportation

Intelligent traffic management

License plate recognition (character recognition rate 99.7%)
Violation detection (speeding, running red lights, etc.)
Parking space occupancy monitoring

Autonomous driving technology

Environmental Perception: Identify road signs, pedestrians, vehicles
Obstacle detection and avoidance (response delay < 50ms)
Lane keeping and automatic parking
4. Agriculture

crop monitoring

AI field patrol drone to identify pests and diseases (accuracy rate 98%)
Growth analysis and yield forecasting

Intelligent agricultural machinery

Automatic navigation tractor path planning
Precise fertilization and pesticide spraying
5. Retail and service fields

Smart retail

Automated checkout system (reduce queue time)
Customer behavior analysis and personalized recommendations
Automatic inventory of shelf goods

Logistics and warehousing

Express sorting system (300% more efficient)
The whole process of the "black light warehouse" is unmanned
6. Special industry applications

Aerospace Satellite and planetary probe vision systems
Lunar rover/rover autonomous navigation

Military national defense

Precise guidance of ammunition (error reduced by tens of times)
Real-time ballistic calculation of intelligent fire control system

Energy and electricity

UAV power line patrol (replacing high-risk manual inspection)
Lithium battery production defect detection (missed detection rate