DLMVS-443X Industrial Machine Vision Application Platform
- Dolang
- China
- 30-60 days
DLMVS-443X Industrial Machine Vision Application Platform integrates image acquisition, intelligent detection, visual positioning and defect recognition. It supports multi-scenario automation training, with modular design, high compatibility and easy programming. Ideal for vocational education and industrial labs to effectively cultivate practical talents in machine vision and intelligent manufacturing.
This platform is primarily composed of a 2D industrial camera unit, industrial lens components, light source components, a 3D industrial camera unit, a 4-axis robotic arm unit, a PLC module, an electrical control system, and a programming computer.
This platform is mainly used to assess trainees' mastery of knowledge and skills in industrial vision technology, artificial intelligence technology, motion control technology, and automatic control technology, as well as their professional qualities such as safety awareness, craftsmanship spirit, and quality and cost control. It simultaneously evaluates the operators' on-site problem analysis and handling abilities, innovation, creativity, organizational management, and team coordination skills. It can serve both as a training device for daily teaching and as equipment for vocational and technical skills competitions, meeting diverse usage requirements.
Technical Parameters
1. Power Supply: AC 220V ± 10%, 50Hz;
2. Rated Power: ≤ 1.5KW;
3. Operating Environment: Temperature 5℃ ~ +40℃, Relative Humidity < 85% (25℃);
4. Dimensions: 950mm * 910mm * 1900mm;
5. Safety Protection: Equipped with multiple protections including short circuit, overload, alarm, and emergency stop;
6. Training Room Power: 1.5KW × X (X = number of devices in the training room);
Training Content
Project 1: Industrial Camera Installation and Adjustment
Task 1: Selection of 2D Industrial Cameras, Lenses, and Light Sources
Task 2: Installation and Debugging of 2D Industrial Cameras
Task 3: Installation and Debugging of Light Sources
Task 4: Installation and Debugging of 3D Cameras
Project 2: Dataset Creation
Task 1: Data Acquisition
Task 2: Data Annotation
Task 3: Data Cleaning
Project 3: Target Model Training
Task 1: Deployment and Application of Deep Learning Frameworks
Task 2: Visual Recognition Model Training
Project 4: 2D Camera Measurement
Task 1: Color Recognition of Target Objects
Task 2: Type Recognition of Target Objects
Task 3: Character Recognition on Target Objects
Task 4: Barcode Recognition on Target Objects
Task 5: Distance Measurement Between Target Objects
Task 6: Diameter Measurement of Target Objects
Project 5: 3D Laser Line Profiler Measurement
Task 1: Equipment Debugging for 3D Laser Line Profiler
Task 2: Image Debugging for 3D Laser Line Profiler
Task 3: Algorithm Parameter Setting for 3D Laser Line Profiler
Task 4: Target Detection with 3D Laser Line Profiler
