Defect Detector Equipment With Romote Processing Platform for Syringe Surface

Detection principle

Syringes are indispensable products in the medical industry. The inspection equipment for the appearance defects of syringes is mainly aimed at some small defects in the production process of syringes, which may affect the health and safety of syringes in the follow-up use

The syringe appearance defect detection equipment transfers the syringe to a specific detection station in a stable and orderly manner through the docking of the front-end automation mechanism,and then transmits the captured high-pixel sample image to the image processing software through an industrial camera, the AI artificial intelligence algorithm will detect and determine the good and bad products, and control the corresponding pneumatic components to remove the bad products, and finally outputs the qualified products. The back-end conveyor platform of the testing machine can be connected to the automatic packaging mechanism.

Product configuration

1. High-pixel industrial camera
2. High-resolution industrial lenses
3. High-intensity strobe light source
4. Artificial Intelligence (Al) Algorithms
5. High-performance GPU computing processing platform
6. High-resolution industrial touch screen

Equipment overview:

1. On-line high-speed detection, improve detection efficiency and accuracy, and reduce labor costs.
2. Accurate identification of high-pixel industrial cameras, the number of cameras is designed on demand, the accuracy is 0.1mm, and the speed is 300 pieces/min (can be customized according to detection requirements).
3. Compatible with detecting products of multiple specifications, saving costs.
4. Detect and remove defects such as black spots, chromatic aberration, impurities, gaps, residual material, overlap, air bubbles, voids, deformation, uneven thickness, size and other defects on the syringe barrel.

Equipment parameters

Product advantages

1. AI algorithm: high stability, can adapt to the disturbance of the environment and background; after training, it can automatically identify different defect samples.
2. Dataization: independent database, save a variety of samples, analyze defective products, and keep historical records.
3. Multi-directional: 360° all-round inspection without dead angle on the outside of the kit, bottle mouth, etc.
4. Visualization: Real-time display of sample images, running status, real-time statistical detection results and defective product defect classification information.
5. High precision: The detection accuracy rate can reach 99.5%.

About Us

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths