CHALLENGE
Employee wear does not meet the requirements
Employee operation does not meet the requirements
The production environment is difficult to monitor
Employees easily rush through dangerous areas
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SOLUTION
Person identification
When there is no helmet, it can capture the facial features and recognize the human face.
Employee wears identification
The program can judge whether employee wears are according to strictly requirements.
Virtual fence
Monitor the status or dress of employees in the area covered by virtual fence.
Multi-stage employee wears identification
According to the requirements of different stages, different AI models are selected to identify employees' wear.
ARCHITECTURE
RELATED PRODUCTS
Webcam
Support night vision ；support network or WiFi
Intelligent Gateway
Intelligent gateway is mainly used for decoding and encoding video streams
Edge Server
MECS-6110
BENEFITS
Safety In Production
Improve the ability of risk alarm and early warning through the continuous monitoring of video stream
Improve Product Quality
Improving product quality by standardizing employee behavior
Intelligent Management
The management steps are simplified through automatic identification and digital management
FEATURES
Low Cost
SaaS application subscription service + hardware terminal usage fee, pay on demand
Full Platform Support
Support web, Android、iOS app and other management application systems
High Efficiency
The artificial intelligence algorithm is deployed to the edge side to obtain more rapid and accurate recognition results
Compatibility
The self developed industrial Internet gateway can realize compatibility of various transmission protocols, data acquisition and interconnection
APPLICATION CASES
Case of a well-known brand automobile production plant
The automobile industry has very strict regulations on the dress and operation of employees. If employees violate the relevant regulations, it will not only affect the product quality, but also lead to production accidents. Our smart factory solution deployed webcams, edge servers and in the factory, realized the digital management of the smart factory, and monitored the implementation of relevant specifications and production environment.
