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Congratulations To Prof. Zhou Tong And Dr. Leng To Lead The Talent Project!


Professor Zhou's big decryption time

 Prof. Zhou
In November 2018, the project won the 12th Science and Technology Leadership in Suzhou Industrial Park.——Leading Incubation Project Founder: Zhou Tong

Project—A new generation of kitchen safety alarm and protection system based on artificial intelligence technology
He is an associate professor at the School of Mechanical Engineering at Nanjing University of Science and Technology and a visitor to the National University of Singapore. He has participated in more than ten scientific research projects such as the National Natural Science Foundation and the National Defense Science Research.

Project Description: ★★★★★
At present, the use of natural gas is becoming more and more common, and safety hazards are also intensifying. The project is based on artificial intelligence technology and IoT technology to develop a new generation of kitchen safety alarm and protection system, which can greatly reduce the incidence of gas accidents.

Core advantages: ★★★★★
This is the first integrated LoRa spread spectrum communication technology in China, integrating ultra-low power CPU;
Intelligent temperature and humidity and zero compensation algorithm with automatic calibration function;
Using intelligent Internet of Things technology and neural network-based alarm error algorithm to improve accuracy;
With full wireless control technology, the installation is convenient and flexible, and the wiring can be completely ridiculous;

Dr. Leng Decryption Time

Dr. Leng

In November 2018, the project won the Suzhou High-tech Zone Entrepreneurship Leadership Project. Founder: Lengwenjing

Dr. Leng

Project - R&D and industrialization of dangerous driving warning systems
He graduated from the University of Texas, and is currently a doctoral tutor and associate professor at Shanghai Jiaotong University.

Project Description: ★★★★★
At present, 94% of traffic accidents are caused by human factors, and early warning can avoid most of them. Based on cross-neural network model and deep intelligent self-learning technology, the project identifies fatigue and dangerous driving actions and implements safety supervision through acoustic and photoelectric warning, big data uploading and remote intervention. The project has 1 invention patent and 7 software copyrights. The project is currently targeted at new energy vehicles and road transport vehicles with safety regulatory requirements.

Corporate vision: ★★★★★
Let everyone go home safely!
Congratulations To Prof. Zhou Tong And Dr. Leng
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