Equipment features:
| 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training |
| 2.Dataization: Independent database, save multiple samples, analyze non-good products, and retain history |
| 3.Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4.High precision: detection accuracy can be high |
| 5.Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6.Easy to operate: It is easy to operate and easy to maintain |
| 7.Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Inspection principle:
With the development of science and technology, screws are one of the indispensable parts in industrial development. The quality of screws is closely watched by the most of industrial manufacturers. The large amount of industrial demand and the fast and efficient mechanized production have led to the the efficiency of manual detection of the appearance of screws is far from reaching actual production requirements.The size of the screws is various, and the visual detection is easy to visual fatigue, which further affects the accuracy and error rate of the detection.With the continuous expansion of the supply and demand market, the introduction of advanced visual detection machines is the only choice for industrial manufacturers.
Based on the above situation, Keye Technology has developed an online visual detection system for screws. This breaks through the problem that cannot be solved by multi-channel manual detection, and prevents the subjective problem of manual detection of screws, and achieves fully automated online detection, removal, classification, counting, and packaging of screws.Our company adopts advanced image visual detection technology to achieve all-round detection of screws in the moving state, identify defective products and achieve automatic rejection.
Visual detection
1. Whether the color and material of the screw meet the requirements
2. Abnormal such as burrs, burrs, deformation, breakage, and poor processing on the screw surface
3. Whether the electroplating layer on the screw surface is uniform, abnormal such as oxidation, rust spots, poor electroplating, paint peeling, etc.
4. Check if there are any abnormal such as mixing with other screws, short installation and missing accessories.
Size Detection
Diameter, length, head cap
Our system uses 4 high-definition industrial cameras to sort out the screws on the production line and send them to the detection line accurately. The system uses deep learning AI technology to automatically learn the characteristics of screw surface defects, so as to realize fast judgment, real-time detection, real-time elimination and other functions by take pictures and display them in real time. The system has the characteristics of high detection accuracy, low missed detection and false detection rate. The software comes with statistics and defect image storage functions, real-time monitoring the operation of the production line, and timely detection the production line problems.
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 wild, avoid direct sunlight, and do not touch the ground.
Product Tags:
|
|
Screw Quality Inspection Machine Automated Sorting Machine System Images
|
