DeepVision (Shenshi Innovation) R&D Center originated from the Video Processing and Communications Lab at the University of Missouri, USA. It is a national-level high-tech enterprise specializing in artificial intelligence, a national-level "Specialized, Refined, Differential, Innovative" enterprise, and hosts a provincial-level engineering technology research center.
    DeepVision developed one of China’s earliest commercially available deep learning-based industrial defect vision inspection platforms.
    The company possesses independent R&D capabilities and intellectual property patents covering both the underlying and application layers of deep learning, providing a standard full-process AI software platform for the machine vision industry.
It focuses on defect detection solutions for key sectors including pharmaceuticals & medical care, tissue paper, lithium batteries & photovoltaics, and precision manufacturing.
    Since its establishment, DeepVision has provided technical services and solutions that fully replace manual quality inspection for more than 500 high-end manufacturing enterprises. These include well-known domestic and international clients such as: Goldhongye, Philips, AstraZeneca, Bayer, Sinopharm, Livzon, Bett, CATL, Juwan Tech, Farasis, Foxconn, Luxshare Precision, Haitian Magnet, Sinosteel Tianyuan, Aerospace Magnetoelectric, Xiubo Group, Master Kong, Anjoy Food, etc.
    Headquartered in Shenzhen, which also serves as its core R&D center, DeepVision has established subsidiaries in Suzhou, Jiangsu as a business delivery base and in Beihai, Guangxi as a hardware manufacturing base..
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
Partners and customers
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