Highlights of the plan: highlights
Product core module inspection, from the source to prevent defective products into the back section, saving materials.
On-line inspection real-time tracking inspection data, abnormal alarm prompts, improve operator efficiency.
Data summary report real-time browsing, tracking the process of each link, help front-end process improvement.
- Defect Detection
- Product Advantages
With the Al algorithm based on deep learning, focusing on network cascading, equipped with KVIS-cloud platform, it provides customers with targeted convolutional neural network technology solutions to more accurately reflect image features.
The use of AI-specific NPU chips guarantees powerful computing power for product detection under high-speed operation and accelerated reasoning.
Provide full-process 0-code model training, optimization and model prediction services, template loading, one-click model change.
Fusion of image multimodal information input to achieve product defect detection and identification.
Multi-node layout to process data efficiently in parallel computing mode, avoiding single node load data operations.
superior arithmetic power to improve the whole machine image acquisition and transmission capabilities, and a high degree of synergy with software scheduling.
