AI Image recognition and Process Optimization Platform
We offer not only AI image recognition systems, but also visual operation platforms to reduce the threshold and time for AI development in enterprises. By optimizing different algorithms through real-time image analysis, our platform can easily achieve digital transformation, improve production efficiency, and competitiveness with fewer image sets, faster model training, and shorter verification cycles.
Image Capture
Use industrial cameras or webcams for image capture and provide real-time image processing and analysis through integrated applications.
Data Processing
Provide automatic image labeling to significantly reduce the time required for image labeling. There are also image generation and augmentation modules to increase the forms of different defects and solve the problem of insufficient defect image samples.
Model Training
Use a small amount of data to build more accurate AI models, improve image recognition speed and accuracy, and meet production speed requirements.
Model Deployment
Deploy models on terminal devices to significantly reduce costs and easily maintain and upgrade them.
Process Management
By integrating the production data and process, the platform can more effectively grasp the training, testing, and deployment processes of AI models, achieve process visualization and automation, and simplify model maintenance and update work.
Visualized Management
Clearly display production data and processes, achieving transparent and precise production operations management.
Easy Installation, Simple Setup, Quick Validation
No-Code AI Model Creation
Using the Google Colab, enterprices can easily operate and create AI models that meet industry needs.
Multiple Module Options
Provides a variety of module options to improve development efficiency and meet various needs.
Model Creation with 30 Images
Through the automatic image labeling function, a large amount of labeling time can be saved. It also provides image generation and augmentation modules to enhance the accuracy of defect recognition and overcome the problem of insufficient sample size.
Small Batch Detection
Create object, defect, and limb recognition models through pre-trained models and small batch data, with up to 100 model optimization options, suitable for small batch and diverse detection production.
Edge Deployment to Reduce Costs
Deploy the model on edge devices after lightweighting to reduce costs and improve execution efficiency and security.
Cloud Remote Maintenance
Provides cloud architecture for remote problem-solving and system maintenance, improving development efficiency and system reliability.
Success Story
Claireye's DAS platform helps to grasp production scheduling and intelligent management.
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Success Story
Reduce project development time to 1 month by introducing the BailAI image detection platform.
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Let's Get In Touch and Discuss Business Opportunities
Contact us if you have any questions about our products and services, and we will arrange for industry experts to consult with you.
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