High Precision HMI vision Quality Inspection Machine For Syringe Needle Detection

In the production of disposable syringe needles, inferior product problems such as flipping and hooks will occur.If these inferior needles are used directly on the patient, the physical and mental health of the patient will be endangered. Therefore, effective measures need to be taken to detect unqualified needles.At present, the majority of domestic syringe manufacturers mainly use manual visual detection methods to remove defective needles. However, because the syringe needles are relatively slender and the diameter of the needle stem does not exceed 1mm, workers will miss the detection due to the visual fatigue.In order to improve the pass rate of needles, KEYE Technology combines the characteristics of syringe needles and uses Rich market experience in AI intelligent visual inspection. It can use KEYE TECH AI+ deep learning algorithm and a strong industry knowledge base to solve the pain points of defect detection. Keye make a Strong compatibility; automatic inspection of syringe needle qualification is realized.

With CCD image sensor, microscope, lighting source, real-time image processor and deep neural network, a hardware platform for syringe needle detection is built; real-time collection and display of needle images are realized; This system uses a high-definition industrial camera to take images from the front and back of the syringe needle on the production line and display it in real time. The system uses deep learning AI technology to automatically learn the characteristics of the needle surface defect, so as to achieve fast judgment, real-time detection, real-time elimination and other functions. The system has the characteristics of high detection accuracy, low missed detection and false detection rate. The software with statistics and defect image storage functions, real-time monitoring of the operation of the production line, and timely detection the production line problems.

The edge tracking method is used to extract the edge contour of the needle, and the image correction and needle tip part extraction method are used to accurately extract the edge contour of the needle tip, which lays the foundation for the accurate extraction of the subsequent needle tip feature information.

Detection category:

Adopt advanced image visual detection technology to realize all-round inspection of the needle tip of the syringe needle in motion, identify defective products and automatic rejection.

Detection range: accurate detection of upside-down, hooks, cracks, foreign objects, etc. on the syringe needle

lProduct features: A high-precision camera is used to detect abrasion and scratches at the pixel level of the syringe needle. The detection system independently developed by the company can make different detection functions according to different products and requirements.

Flip, hooks, cracks, foreign objects: the area is above 0.5 mm², and the area threshold can be adjusted.

The detection accuracy is bigger than 99.5%, and the false rejection rate is less than 0.5%

Detection environment:

It should be in a dry and ventilated workshop with a room temperature of -15°C to +30°C and a relative humidity of 50% to 80%, away from heat sources, and away from the ground and walls over 20 cm. Avoid being affected by corrosive substances such as acid, alkali, oil, etc., do not place it in the open, avoid direct sunlight, and do not touch the ground.