- Phone
-
Address
Room 703-704, Building 3, No. 452, 6th Street, Baiyang Street, Qiantang District, Hangzhou City, Zhejiang Province
Hangzhou Baiqiao Medical Technology Co., Ltd
Room 703-704, Building 3, No. 452, 6th Street, Baiyang Street, Qiantang District, Hangzhou City, Zhejiang Province
deep learningThe detection system is a professional equipment for quality defect detection of products related to the medical device and chemical industries. It can achieve defect detection, identification, and sorting, and can be integrated with production lines to achieve fully automated production. It can be customized and designed according to customer needs.

1. Main functions:
(1) Can achieve functions such as product defect detection, marking recognition, and location positioning;
(2) Capable of sorting defective products, sorting for labeling errors, and identifying positional errors;
(3) Can customize production according to customer needs;
(4) Can connect with automated production lines.
2deep learningTechnical parameters of the detection system:
(1) Camera (optional): MV-CS016-10GM/GC CMOS Gigabit Ethernet industrial area array camera;
(2) Lens (optional): MVL-HF1228M-6MPE optical lens;
(3) Light source (optional): circular light source;
(4) Computer (optional): Advantech all-in-one computer;
(5) Controller (optional): Mitsubishi PLC controller;
(6) Power supply voltage: AC220V ± 10%/50Hz ± 2%.
3. Case Study:
(1) Defect detection of hernia patch

(2) Performance testing of hernia patch

4. This product has applied for a national invention patent with application number 202211455934.5.
5. After sales service and training:
(1) Free delivery to the user's address, free on-site installation and debugging. From the day the installation and debugging pass the user's acceptance, the quality guarantee period is 1 year, and full maintenance is free during the quality guarantee period.
(2) During on-site installation and debugging, technicians are responsible for training the operators, with no limit on the number of trainees until the users can independently use and maintain the equipment.
(3) Repair response time ≤ 2 hours, proposed solution ≤ 24 hours, on-site technical support ≤ 48 hours.