Together with HuBrain, VisionX compared its AI imaged based quality inspection software to existing solution around the global market and as shown below VisionX is leading at technology, variegation and quality-price ratio front.
Agree to collaboration with Nanjing’s textile industry quality inspection integrator on developing a second generation of AI quality inspection technology together. Also agree on using DBC’s training platform to train for future quality inspection models.
Met with Taiwan FanYu’s quality inspection integrator to discuss the Taiwan and Mainland China market, demonstrate VNX software advantage and technology.
Draft contract with the security breach technology team from China Coal Technology Engineering Group. Entering examine and approve process.
Defect Inspection (Dataonomy):
Trained the model for ceramic defect detection for top ceramic chip maker, with the initial accuracy of 95%
Created the base model of across industry and enhanced the Dataonomy with Federated learning framework
Visual Abnormity Inspection:
Partnered with HW vendor to design the imaging system for implant medical part vendor
Developed OCR solution for serial number recognition of product
Developed RNN based AI technology for Gas prediction in coal mine
Designed VNX architecture and enhanced roadmap of the VNX project
VisionX, industrial AI chain, is a cross-industry high-performance AI collaboration platform, is the first AI+Blockchain project the DeepBrain Chain Silicon Valley lab has incubate. It has the single biggest and quality image dataset, uses a Unique taxonomy algorithm to complete a cross-industry AI solution fit for all. VisionX uses product surface defect visual detection as a breaking point, to gradually branch off to machine arm grab and pick, preventative maintenance, intelligent speech, supply chain and other fields. In the future it will serve thousands of industries offering AI solutions and data worth millions.