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Crane Operation Area Intrusion Recognition Crane Operation Area Intrusion Recognition

Leaving Post Recognition


Leaving post recognition algorithm based on deep learning neural network, automatically monitors whether a person is at the working post, if not, it will immediately give alarm. The judgment threshold for leaving time can be configured. and the algorithm is robust. 

Case Studies
The Gas Station Enterprise in Shandong
The Gas Station Enterprise in Shandong
Corerain provides an overall AI video analysis solution to detect the correct placement of fire extinguishers, electrostatic discharge operation specification and other operation status in the process of oil unloading in real time and realize 24-hour automatic detection of irregularities such as calling, smoking, leaving the post, and the risk of flame and smoke. The solution constructs a rapid response mechanism to dangers, achieves instant alarm for abnormal situations and automatically retains the relevant videos to meet the intelligent construction requirements of the regulatory authorities.
The State-owned Gas Station
Corerain provides an intelligent supervisory platform for the state-owned gas station, which enables real-time detection and early warning of risks such as smoking, phone calls, personnel intrusion, fire passenges occupancy, fire equipment misplacement, and uniform wearing in the refueling and unloading areas by analysis of camera videos in the station, strengthening the efficiency of gas station safety management and promoting modernization of emergency management capabilities.
The Private Gas Station
Corerain provides a state-owned gas station with an intelligent video analysis solution to perfect the video surveillance on key areas such as gas dispensers and oil storage tanks, and to identify, alarm and record personnel violations and abnormal environmental conditions at the gas station. The solution makes full use of existing equipment and deploys an integrated AI software and hardware solution to enhance intelligent operation management while avoiding waste of resources.

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Shenzhen | 14F, Changfu Jinmao Building(CFC), Trade-free Zone, Futian District, Shenzhen, Guangdong, China

UK | Kemp House,152-160 City Road, London, EC1V 2NX

Shanghai | Room C509, 5F, Building C, Hongqiao Wantong Center, No.333 Su Hong Road, Minhang District, Shanghai, China

Shandong | 14F, Building 3, Future Innovation Park, 3 Gangxing Road, Licheng District, Jinan, Shandong,China

Shanxi | Room 1211, 12F, Building T1, Lai 'an Center, 1111 Yanta Road, Qujiang New District, Xi 'an, Shaanxi , China 

Liaoning | Unit 064A, 6F, Huahang Building, 77 Wenhua Road, Heping District, Shenyang, Liaoning , China

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