Machine Learning

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.

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  • 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.

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  • 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.

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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.

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  • 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.

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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.

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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. 


Official Website
http://www.visionx.org/

Twitter
http://www.twitter.com/visionxglobal

Telegram
https://t.me/VisionXGlobal

Reddit
www.reddit.com/r/visionx

Youtube
https://www.youtube.com/channel/UCp2nv-fSaKgrTdP0QfthDoA

Progress Report #9

Marketing & Collaboration

  1. The VisionX team is working to update the VNX white paper and the road map in collaboration. The updated version will enhance the blockchain technology and VNX based token economy.

  2.  VisionX launched the DAPP development team and has begun to design and develop a distributed AI training framework in cooperation with DBC and Asus research team. The innovative AI training framework is primarily based on VNX federated learning framework for visual inspection. VNX will extend to a distributed AI solution framework for general tasks. VNX will also open the source codes to the VNX community and invite users and developers to use and enhance the framework.

Tech Development 

Distributed AI Framework:

  • VNX created a new team to design and develop a novel AI training framework, based on decentralized DBC AI cloud.

  • The initial prototype design has been finished, mainly based on the Federated Learning (FL) framework for visual inspection.

Defect Detection (Dataonomy):

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  • In order to protect raw data of customers (especially for enterprise users) and encourage data contribution, the visual inspection team has successfully developed feature extraction and distributed training technology in the Federated Learning (FL) framework. The useful features from the raw data will be extracted in the client side before contributing to the cloud server. The base models trained from the features can reach the same performance as from raw data.

The above figure shows raw images of the texture defect samples (shown in the 1st column of the plot) and its extracted features from 4 different feature channels of the third convolutional layer of the pre-trained Inception V3 model.

  • VNX has developed the initial version of AI module to integrate into Hubrain’s Hu-Dra visual inspection system and confirmed the detection performance. Hu-Dra is a general-purpose visual inspection system.

  • With the request of the LED light chip vendor, VNX has developed the defect detection AI model with more than 99.9% accuracy and less than 5ms for each detection.

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Visual Anomaly Inspection:

  • With the certified pieces of equipment from CCTEG, VNX issues the first AI solution for safety monitoring and regulation enforcement in coal mining sites.

  • Continued to improve the product auto-sorting system for a medical implant supplier and enhanced multiple object-identifying software via a new AI model.

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

AI-based prediction and preventive maintenance:

  • Environment surveillance and warning: obtained and cleaned 4 years of gas and gas associated data from more than 100 underground coal mining sites; started to develop the prediction model of the gas index and explore the association with other features.

  • Smart AI finance prediction: developed stock price prediction AI model, which can predict the closing price of the PS500 index with an accuracy of 97%. The AI model is using long and short-term memory (LSTM) of finance timeline and Deep Learning framework, which will provide smart financial investment advice in the near future.

  • Bio-health big data: designed the Multi-Task Deep Neutral-Network (MT-DNN) 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. 


Official Website
http://www.visionx.org/

Twitter
http://www.twitter.com/visionxglobal

Telegram
https://t.me/VisionXGlobal

Reddit
www.reddit.com/r/visionx

Youtube
https://www.youtube.com/channel/UCp2nv-fSaKgrTdP0QfthDoA

Progress Report #4

As the year of 2019 arrives, the development of AI is still going at a surprising speed. An all-round AI solution can effectively help traditional companies optimize their procedures, raise efficiency, lower their cost, control risks in their manufacturing environment and so on. VisionX hopes to contribute to the industrial industry in the new year to help push their developments. 
 
Marketing

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VisionX and DeepBrain Chain attended Nepcon,

1. On invitation from HuBrain, VisionX and DeepBrain Chain attended the 2019 Japan International R&D and Manufacturing Electronics and Tech Conference NEPCON JAPAN 2019.

So far, HuBrain has already integrated VisionX’s AI software into its quality inspection system. HuBrain is a well-known image quality inspection specialist manufacturer in Japan and also a supplier of image inspection software to big factories working for Tesla.

HuBrain hopes to optimize AI quality inspection function with VisionX’s product and add more functions to expand their customer base.

Dev Progress

Through Dataonomy - Technology Training Can Achieve An Inspection Model That Can Be Used At Multiple Scenarios With High Accuracy

1. Based on the very little original image data provided by a Japanese porcelain manufacturer, using Dataonomy technology to complete the training of a porcelain surface defect detection model with an accuracy rate of 95%;
 
 2. Based on the very little original image data provided by a Japanese metal manufacture, using Dataonomy technology to complete training of a metal surface defect detection model, with an accuracy rate of 99%. 


Software Development


 1. The team developed surface defect detection models for metal and porcelain with a demo video shown at the NEPCON JAPAN 2019 from Jan 16th — 18th.


AI Project Collaborations


 1. Due to the collapse at Shaanxi’s Shenmu Coal mine on January 12th, VisionX has speed up the collaboration with the coal mine supervising department at Shenmu area, designing 5 AI detection function for finding out potential security risks to be developed, as well as collecting the necessary data and forming the team to complete the development. 
 
 2. Adding VisionX’s Dataonomy and image quality inspection technology into AI training courses, start training all levels of tech personnel for VIsionX’s quality control related products as part of the effort to help with VisionX’s penetration into different industries.

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. 
 
Official Website
http://www.visionx.org/

Twitter
http://www.twitter.com/visionxglobal
 
Telegram
 https://t.me/VisionXGlobal

Reddit
www.reddit.com/r/visionx

Youtube
https://www.youtube.com/channel/UCp2nv-fSaKgrTdP0QfthDoA