Core competence
Service mode
AIWin guides customers to use AI,combine deep learning with Domain Know-how,collect data,pre-process data,transform and analyze data, establish AI training and verification model
1. Data collection
Mark the large amount of information needed to train AI.
2. Data conversion analysis
Determine the learning data and adjust it so that the machine learns to recognize text, pictures, images, etc.
3. AI model establishment
Establish a variety of AI models and verify the learning results.
4.System Integration
Software design, function development, AI application and system integration.
AI service
AOI architecture
Image data are obtained from industrial cameras and summarized. Through AI deep learning or machine learning training, AI intelligent detection or prediction can be realized.
AOI flow chart
Introduction of AOI application in products
AI-AOI equipment for industrial functional textile setting
AIWin has developed a fabric AI-AOI technology for the textile industry of Taiwan. It can help user building AI models quickly by AIWin AI Algorithms and provides fast and accurate inspection quality to reduce human fatigue effectively.
AIWin Deep Learning and Computer Vision Technology
Detection Rate: more than 95%- Max. Speed: 25m/min.
lAIWin Special Mechanism
lDetect Defect Type: more than 6 types
Optical Resolution: 0.014mm/pixels
The recognition technology is the exclusive deep learning technology of AIWin, and the recognition rate is over 98.5%.
The rate of missed detection is less than 0.1% (manual missed detection rate is 1-3%), and the error-detection rate is less than 10%
The recognition speed can reach 3,600 pieces / hour.
Exclusive turning and in and out mechanism.
It can effectively identify more than 28 kinds of golf-related defects and logo defects.
The optical accuracy is 0.06mm/pixels.
Based on the shoelace production line, an optical image acquisition system is set up, and the deep learning AI image recognition technology is integrated through the camera to detect the defects on the shoelace surface.
IVS intelligent image analysis technology
IVS API provides a developer interface for intelligent image analysis, presented in the form of the Resful API. Through this API, the user can conduct image recognition through the camera and get the result, which is convenient for data analysis and utilization.
Technical focus
1. One-shot Face Recognition technology is adopted for face recognition. After a single photo is saved, the face can be recognized.
2. Face recognition rate is over 99.80% in public database LFW and over 98% in Megaface.
3. Feature: no need to save face image. It can eliminate privacy concerns.
4. Feature comparison: it can compare a face within 0.03 seconds and a complete 720P image within 0.1 seconds.
5. The API can call across different OS.
6. Nvidia GPU acceleration technology is adopted.
IVS flow chart
Introduction of IVS application in products
The use of license plate recognition can make the parking lot fully automatic and intelligent, which can not only reduce the labor cost but also reduce the trouble of drivers (no need to collect magnetic snap manually). In addition, combined with software, it can achieve the control of data and black-and-white lists of users.
Human pose estimation is to find out the skeleton position through deep learning and solve the behavior, posture and other problems through analysis. The application includes crowd monitoring, abnormal behavior monitoring, sleep posture monitoring, fall monitoring, athlete movement analysis, etc.
The core function of face recognition technology is identity recognition with the image, AI artificial intelligence combined with face recognition algorithm to calculate face features and analyze gender, age group and emotion. Related applications include blacklist detection, VIP identification, access control, unmanned stores, and customer analysis in the retail industry.
AI image recognition technology is used to solve the safety management problem of the production environment and reduce labor costs. The application includes access control, staff safety equipment detection, abnormal situation warning of the monitoring field, warning of dangerous behavior, etc.