DeepVision (Deepvision Innovation) headquarters R & D center originated from the University of Missouri and Shenzhen Nanshan. It is a national artificial intelligence high-tech company. It has developed the earliest commercial deep learning defect vision platform in China. The company has deep learning underlying, application layer technology research and development capabilities and intellectual property patents, and is committed to using deep learning technology to provide defects visual inspection technology solutions for industrial manufacturing enterprises. Focus on "pharmaceutical production, lithium photovoltaic, magnetic materials" sub-industry solutions.
Since its establishment, Shensee Innovation has provided technical services and solutions that can completely replace manual quality inspection for more than 200 high-end manufacturing enterprises. Among them: Astrazeneca, Bayer, Lizhu, Sinopharm, Fenergy, Foxconn, Lixin Precision, Midian Electric Appliances, Haitian Magnetic Industry, Sinosteel Tianyuan, Aerospace Magnetoelectric, TDK...... And other well-known domestic and foreign enterprises.
Deepsee Innovation is a young company with high education and high technology talents. The core technical team consists of two overseas doctoral supervisors and many young doctors and masters. At present, the company takes Shenzhen as the research and development center, and its business and service layout is in South China (Shenzhen) and East China (Suzhou).
Team Structure
Honor
  • National high-tech enterprise
    South China Machine Vision Alliance Director Unit
  • Shenzhen high-tech enterprises
    Deep Vision Innovation AI Technology Research Base
  • Guangdong Multimedia Information Service Engineering Technology Research Center
    AI doctoral research base of Southern University of Science and Technology
  • Strategic cooperation unit of Suzhou Intelligent Manufacturing Research Institute
    Member of the Yangtze River Delta (Suzhou) Machine Vision Industry Innovation Alliance
Research
Fast deep learning technology can greatly improve the speed without affecting the accuracy, and has the advantages of high efficiency, low cost and scale.Our technological breakthrough in AI deep learning chip has once again greatly reduced the cost for customers to use deep learning technology.In the near future to AI integration, product miniaturization to launch new products.
  • Fast matching and localization of repeated textures in industrial vision

  • A Visual Deep Learning Network Training Method for Defective Samples

  • Adaptive defect detection method for flexible circuit board

  • Automatic discrimination of similar and different products based on deep learning

  • Fast generic ROI matching method

  • Fast OCR recognition method based on deep learning network

  • Visual detection algorithm for glass defects

  • Shape matching algorithm based on annotation

  • Method for detecting template defects

  • A joint multi-channel product defect classification method based on deep learning

  • Defect Detection Method Based on Deep Neural Network Heat Map Prediction

  • Robust deep neural network learning method for sample labeling error

  • A method for automatic identification of real defects and overkill based on decision tree

  • Mass image annotation method

  • Detection method for camera module defects

Other technologies and systems
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