Double-Sided AI Artificial Intelligence Detection Equipment
≤5
Minimum sample size
>99.99%
Coincidence
>30
Number of compatible models
99%
Automation
AI camera
Real-time monitoring
OCR inspection
Quality inspection
Product Parameters
- Single positive sample：For products with clear image features and single defect type, high detection accuracy can be achieved in a short time through OK sample training, so as to achieve the rapid project deployment
- Machine learning & deep learning： Taking advantage of the machine learning algorithm's application in detection speed and detection stability and in combination with the characteristics of deep learning algorithm such as interference, efficient feature extraction and generalization ability, it can effectively enhance the item detection stability and detection accuracy
- Visual debugging： Solve the black box problem generated by the neural network under the module "Classification" of deep learning algorithm, and guide the optimization of neural network model through visual thermodynamic diagram
- Transfer learning： Enhance the universality of neural network model.Based on the extraction and training of common features of products made of the same material, improve the detection universality of neural network model, transfer the model to more product models and solve the application scenario problems of fewer samples and more models
- Image feature enhancement： Effectively improve the detection accuracy by multi-dimensional feature extraction.Conduct the multi-dimensional feature extraction for training set images, auto-filter the effective feature information and increase the training weight of such data to effectively improve detection accuracy
- Hardware accelerating optimization： Fully accelerate the optimization of software and hardware. On the basis of ensuring the detection accuracy and precision, it can detect small articles much faster than the traditional algorithms.
Our Advantages
Realize accurate calculation in the image by acquiring pixel information in the image
Conduct the training through positive samples and use model reasoning to predict the type of new pictures
Mark and train the 2D images converted from 3D point cloud data to generate AI neural network model
Strengthen the code reading algorithm, improve the recognition rate, and optimize the scanning scenarios such as deformed and fuzzy codes
Technical Proposal
Applicable Scenarios
Double-Sided AI Artificial Intelligence Detection Equipment
StarsPlas takes industrial vision and artificial intelligence algorithm as the core and focuses on the research and development of standardized AI visual detection software platforms, Al intelligent cameras and intelligent hardware, Al intelligent data analysis systems and overall solutions in the industrial field.
StarsPlas has a comprehensive layout in both domestic and international markets, with the goal of providing standardized industrial AI visual algorithm platforms and overall solutions for the fields and industries of pan-3C products, pan-semiconductors, PV, automobiles and parts, improving the product quality management level, enhancing the production efficiency, strongly boosting the improvement of product yield and productivity of the factories and deeply empowering the upgrading of the intelligent manufacturing industry.
StarsPlas has a comprehensive layout in both domestic and international markets, with the goal of providing standardized industrial AI visual algorithm platforms and overall solutions for the fields and industries of pan-3C products, pan-semiconductors, PV, automobiles and parts, improving the product quality management level, enhancing the production efficiency, strongly boosting the improvement of product yield and productivity of the factories and deeply empowering the upgrading of the intelligent manufacturing industry.
Global Solutions
Contact Us
Address：Room 3506, Building A, Huijin Center, Yangshe Town, Zhangjiagang City
Tel：18913613799
Email：admin@starsplas.com
Social Media