Kotak Eksperimen Aplikasi Visi Mesin Perindustrian DLMVS-SX02
- Dolang
- China
- 30-60 hari
Kotak Eksperimen Aplikasi Visi Mesin Industri DLMVS-SX02 mengintegrasikan fungsi pemerolehan, pemprosesan, pengesanan dan pengecaman imej. Ia mempunyai struktur padat, operasi mudah dan projek eksperimen yang kaya, menyokong kedudukan visual, pemeriksaan kecacatan dan analisis pintar. Sesuai untuk pengajaran dalam bilik darjah dan latihan makmal, ia membantu pelajar menguasai aplikasi visi mesin industri dan kemahiran praktikal dengan cepat.
Equipment Overview
The DLMVS-SX02 Industrial Machine Vision Application Experiment Box focuses on the application of industrial vision technology and artificial intelligence vision technology in the industrial field. Centered around the selection, installation, operation, data processing, programming, debugging, and maintenance of industrial cameras, it emphasizes the application of artificial intelligence technology in industrial vision systems. The equipment assesses trainees' abilities in constructing industrial vision image acquisition systems, calibrating industrial vision systems and verifying accuracy, image annotation and model training, and the comprehensive application of industrial vision in industrial field systems. By combining the comprehensive application of typical industrial vision in industrial scenarios and leveraging the analytical power of artificial intelligence technology for collected data, it aims to enhance trainees' proficiency in applying industrial machine vision and artificial intelligence technologies within the industrial sector.
Technical Parameters
1. Operating Power Supply: AC 220V±10%, 50Hz
2. Rated Power of Equipment: ≤1KW
3. Operating Environment: Temperature 5℃～+40℃, Relative Humidity <85% (25℃)
4. Safety Protection: Equipped with multiple protections including short circuit, overload, alarm, and emergency stop.
5. Power for Training Room: 1KW × X (X is the number of equipment units in the training room)
Training Content
Project 1: Industrial Camera Installation and Adjustment
Project 2: Fundamentals of Vision Software Application
Project 3: Dataset Creation
Project 4: Target Model Training
Project 5: 2D Camera Measurement
