Bright Kitchen Solution
Intelligent monitoring of bright kitchens to empower food safety supervision
Introduction
Food is of heavenly importance to the people, food safety affects everyone’s health. Currently, many kitchens have little to no digital management, lack of supervisors, and low management efficiency. They have no existing intelligent means to achieve precise supervision.
To solve the difficulty of supervising the safety and hygiene of kitchens in cafeterias and restaurants, Thundercomm applies edge computing and AI video analysis to monitor kitchens intelligently. The solution both ensures that safety and hygiene satisfy consumers and high supervising efficiency of government regulations. When violations of SOP occur in a monitored zone, the system will automatically send a warning and keep full records to trace back to ensure supervision efficiency and accountability.
Benefits
Algorithm optimized for each industry’s scenarios with high accuracy and low under-reporting rate
Intelligent monitoring and real-time warning for effective closed-loop detection in kitchens
Video analysis and alarm data visualizing for straightforward presentation
Integration with various video streaming protocols so the existing equipment can be used to lower the cost of upgrading
Standard API interface for easy integration with third-party platforms
Architecture
Thundercomm provides an algorithm +computing power + platform integrated intelligent bright kitchen monitoring solution. The solution is integrated with the data from video monitoring of kitchens. The edge computing box performs real-time analysis. The cloud centrally manages equipment, AI algorithm, early warning, monitoring, and visualization and can be integrated with enterprise’s business platforms or the government’s food safety regulation platform.
Bright Kitchen Algorithms
• Chef’s clothing detection
• Chef’s hat detection
• Mask detection
• Bare arms detection
• Dustbin uncovered or overflow detection
• Smoking detection
• Phone call detection
• Intrusion detection
• Smoke and flame detection
Application Scenarios
Restaurant kitchens
