Resistance appearance defect detection system is mainly used to detect the appearance defects of the chip resistors of various general packages: including resistance and electrode size measurement, electrode and body defects and dirt, character OCR, character offset and other inspection items . The system supports multi-station high-speed industrial camera access, and supports simultaneous detection of both front and back sides. The maximum detection speed of the system can reach 3000pcs/min.
1.Online detection, high speed and high efficiency;
2.The system can detect items such as size, defects, stains, etc.;
3.Detect chip resistors of different package specifications;
4.The system supports flexible addition and reduction of detection functions, which is convenient for customers to customize detection content;
5.Set the tolerance range by yourself, and the system judges whether the resistance is qualified according to the tolerance.
Workpiece appearance scratch detection system is based on line structured light technology, combined with machine vision image processing technology, real-time online detection of special workpiece, special detection equipment. The main modules of the system include: trigger positioning module, motion execution module and image processing module. According to customer requirements, when the sample moves to the detection station, the camera and vision system are triggered to detect the scratch defects, and the detection signal is output to the motion actuator to complete the rejection function of unqualified products.
1.Online detection, high speed and high efficiency;
2.The system can detect the size, scratch depth / width and other items;
3.The tolerance range is set by itself, and the system determines whether the workpiece is qualified according to the tolerance.
AI diagnosis system of COVID-19 CT scans is based on the self-developed deep learning algorithm to train the CNN recognition network, which can quickly and accurately identify the COVID-19 CT images. As an auxiliary diagnostic method, this system uses three-dimensional image intelligent recognition technology to perform qualitative and quantitative analysis and diagnosis of COVID-19 lesions, which can track and monitor the patient's disease status in time.
1.Quickly identify CT scans of COVID-19 and assist doctors in CT diagnosis;
2.Through three-dimensional image intelligent recognition technology to perform qualitative and quantitative analysis and diagnosis of COVID-19 lesions;
3.High detection accuracy and fast detection speed. The detection accuracy of COVID-19 is over 96%, and the detection speed is within 30s.