Big Data

Progress Report #10

Marketing & Collaboration

  • As one of the founding members, the VisionX team helped to form the AI and Blockchain Technology Special Committee in Jiangsu Province of China. The committee belongs to Jiangsu Association for Science & Technology Innovation (JASTI), which serves more than 2,000 local companies and research institutes. As president of this committee, Dr. Harry Gu will utilize AI development resources, technologies, and solutions from VNX and DBC to support local companies with product innovation and business transformation.

  • The VisionX team won second place in the China Overseas Talent Innovation and Entrepreneurship Competition among more than 30 teams in the US west coast region. VisionX demonstrated a large and viable potential market, innovative technology/product pipeline, and a solid core team. VisionX was also selected to participate in the final competition in China.

  • With the request from a system integrating company, VisionX is utilizing its global data collection network to start a large-scale and challenging facial image collection project. In this project, the VNX token will be used to reward the image providers (data miners).

  • VisionX hired David Mass join the team as CFO. David started his career at Fidelity Investments working with high net worth and prime brokerage clients. He has been working in Investment Management since transitioning to Big 4 Accounting. Currently at PricewaterhouseCoopers LLP, he has also been working in Blockchain innovation relating to trade execution, layering in Blockchain technology into the workplace and taking part in accretive cryptocurrency deals. David earned his Bachelor’s Degree from the University of Delaware, double majoring in Accounting and Finance. He will focus on forming strategic partnerships, developing financial synergies, and driving marketing efforts for VisionX.

  • The paper submitted to ICIAR 2019 was accepted as an oral presentation and will be published by Springer in the Lecture Notes in Computer Science. The novel Federated Learning AI framework was considered an important technology for AI applications in the industry.


Tech Development

Distributed AI Framework:

  • VNX has designed the first version of a distributed AI framework consisting of Federated learning, Parallelism (Data and Model) and Transfer learning, on a decentralized DBC AI cloud.

  • The model training algorithms in client and server sides have been developed for Federated Learning (FL) framework, mainly for visual inspection. VNX will release the source codes to the following VNX developer communication in the near future.


Defect Detection (DataonomySM):

  • Based on End-to-End modeling, VNX has started to develop the third version of Visual Inspection software product (VNX-III). Compared to the prior two, this version will have better accuracy, faster speed, and can easily be integrated into Windows-based systems.

  • With Nvidia TensorRT, VNX has been able to accelerate the deployment process from AI training platforms into real working environments.

  • Supermicro (SMC) invited VisionX as a partner to participate in the Supermicro Innovate event. As the top GPU server provider, SMC introduced standard and advanced GPU edge servers, which will be a good option for high-end client servers.


Visual Anomaly Inspection:

  • Cooperating with CCTEG, VNX created a product proposal for coal mining users to use in safety monitoring and regulation enforcement. The AI safety solution has the following features:

  • Real-time monitoring and intelligent analysis (AI) of underground workers in illegal operations with helmets, helping to reduce human operation and personnel costs

  • Low-cost RF real-time precise positioning of underground workers

  • Smartphone based automatic image recognition of violations, information push and escalation

  • General coal mine risk pre-control and accident management platform with extension of various intelligent safety detection functions

  • Optimized the accuracy and speed in OCR for product series number recognition.

AI-based prediction and preventive maintenance:

  • Environment Surveillance and Warning, Applied DeepAir: Deep Learning model to the prediction of the gas index and explored association with other features.

  • Smart AI Finance prediction: Acquired S&P 500 historical data up to 2019 and retrained the AI model for S&P 500. Begun to develop live demo system for AI based stock price prediction of S&P 500 index.

  • Bio-health Big Data: Combined Attention Mechanism in Deep Learning with the Multi-Task Deep Neural-Network (MT-DNN); proposed a novel method for multiple labeling task in order to improve individualized breast cancer patient’s treatment plan.

Follow VisionX

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. 

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