The artificial intelligence inspection system is specialized equipment for detecting quality defects in medical devices and chemical-industry products. It detects, identifies, and sorts defects and can be integrated with a production line for fully automated manufacturing. Custom design and development are available according to customer requirements.

AI InspectionSystemThis is specialized equipment for detecting quality defects in medical devices and chemical-industry products. It detects, identifies, and sorts defects and can be integrated with a production line for fully automated manufacturing. Custom design and development are available according to customer requirements.

1. Main functions:

(1) Performs product-defect detection, mark recognition, position location, and other functions;

(2) Sorts defective products and products with incorrect markings, identifies positional errors, and performs other functions;

(3) Supports custom production according to customer requirements;

(4) Can be integrated with an automated production line.

2、AI InspectionSystem technical parameters:

(1) Camera (optional): MV-CS016-10GM/GC CMOS Gigabit Ethernet industrial area-scan camera;

(2) Lens (optional): MVL-HF1228M-6MPE optical lens;

(3) Light source (optional): ring light;

(4) Computer (optional): Advantech all-in-one computer;

(5) Controller (optional): Mitsubishi PLC controller;

(6) Supply voltage: AC220V±10%/50Hz±2%.

3. Use cases:

(1) Hernia-mesh defect inspection

(2) Hernia-mesh performance testing

4. A Chinese invention patent has been applied for this product: Application No. 202211455934.5.

5. After-sales service and training:

(1) Free delivery to the user's address and free on-site installation and commissioning. From the date on which installation and commissioning pass user acceptance, the warranty period is one year, with all repairs free during the warranty period.

(2) During on-site installation and commissioning, technical personnel train the operators. There is no limit on the number of trainees, and training continues until users can operate and perform routine maintenance independently.

(3) Repair response time ≤2 hours; proposed solution ≤24 hours; on-site technical support ≤48 hours.