Machine vision and image-based code reader
Industry:Cars
Solution:Visionpro + 50 industrial cameras
Summary:Mercedes Benz engine off-line full inspection "camera door", assembly line error prevention and transformation integration project, solved the problems of MIS installation and missing installation in the production process, and improved the production efficiency and saved costs for customers. The whole set of equipment is equipped with more than 50 cameras to detect more than 70 detection points in sequence. The working conditions are complex and the project difficulty coefficient is high.
Appearance inspection of Beijing Benz engine Project detailsIndustry:Cars
Solution:Visionpro +cic camera + integrated light source
Summary:Mobile detection of glue width, glue breaking and position, visual system and glue gun move together, and detect while gluing, which can greatly shorten the process beat and improve production efficiency. The detection time has been basically completed in the gluing process. The space provided for the visual inspection equipment is saved, the tooling cost is saved, and the clear display interface is also conducive to quickly finding the glue line of the unqualified section.
Gluing follow-up test Project detailsIndustry:Cars
Solution:Ur collaborative robot hand + deep learning software vidi
Summary:After two months of continuous debugging and improvement of the project, ur collaborative robot and deep learning software vidi have been able to achieve perfect cooperation and meet the needs of customers. At present, the project has passed the acceptance and officially put into operationUse. While reducing the labor cost, it effectively improves the production efficiency and quality of the production line. Automation helps achieve consistent quality excellence.
Car seat ironing Project detailsIndustry:Cars
Solution:Ur10+ industrial camera
Summary:This project is mainly an assembly line project applicable to the tightening of automobile seat bolts, which improves production efficiency, liberates labor, makes up for the easy wrong and missing installation of labor, frequently changes tightening tools, the overall equipment and software interface, the equipment can be moved to the production line to quickly build applications, and robots and cameras can automatically switch corresponding programs to adapt to the positioning and tightening of multiple types of seats.
Car seat bolt tightening Project detailsIndustry:Cars
Solution:UR5+In-Sight7600
Summary:The composition of the visual positioning system includes: image acquisition module and image processing module, in which image acquisition includes four parts: lighting system (light source), optical imaging system (lens), CCD camera and image acquisition card based on PC. The main function of the visual system is to process product image features through software algorithm to provide coordinate positioning guidance for robots and actuators.
Auto press fitting of Automobile decorative strip Project detailsIndustry:Cars
Solution:Industrial camera + 2 light sources + deep learning
Summary:This detection uses a cost-effective gaude industrial camera and a bright strip light source, which is programmed by visionpro + C \. It can realize the classification and detection of dozens of wheel hub types, and the recognition rate is less than 2S under the training of various models. The operation interface is simple, and the model training is simple. Employees can freely increase or decrease the model base after two operations.
Assembly line classification hub pattern Project detailsFrom assembly to final inspection, the manufacturing of almost every system and component in gasoline powered vehicle, hybrid electric vehicle or electric vehicle is completed with the assistance of machine vision and code reading technology
With the progress of artificial intelligence, many manufacturers are also making full use of deep learning vision software to solve complex component positioning, appearance inspection and classification challenges
Cognex machine vision system, code reader and deep learning software enable automotive component manufacturers and vehicle assembly plants to achieve excellent product quality, safety and production goals
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