SkyVision Enables Video Surveillance for Kitchen's Transparent Kitchen

In the food industry, the hygiene and operation specifications of the back kitchen are crucial. WeLinkirt's SkyVision zero-code video surveillance AI platform provides an efficient and accurate solution for the video supervision of the transparent kitchen in the back kitchen.

User Scenario: A large-scale chain catering enterprise has numerous stores. In its back-kitchen production line, there are multiple processes such as food ingredient processing and cooking. The products are various catering foods, and the detection objects mainly include the operation specifications of the back-kitchen staff (such as whether they wear masks and hats, and whether they operate according to the specified procedures) and the hygiene conditions of the back-kitchen environment (such as whether the floor is clean and whether the food ingredients are neatly placed).

Pain Points: Currently, the enterprise mainly relies on manpower for back-kitchen supervision, which not only consumes a large amount of labor costs but also has low supervision efficiency. Missed detections occur frequently. For example, violations such as staff not wearing masks may not be detected in time. The false-alarm problem is also prominent. Traditional monitoring systems are prone to misjudging normal operations as violations. In addition, with the increasingly strict requirements of the industry for food safety and operation specifications, the enterprise is facing huge compliance pressure. Combining with today's hot-topic direction, just as rehabilitation institutions need video surveillance technology to ensure safety and identify behaviors, the back kitchens of the catering industry also urgently need effective video surveillance technology to ensure food safety and standardized operations.

Technical Principle

The SkyVision zero-code video surveillance AI platform uses advanced deep-learning algorithms. Its core is to train the model to learn the characteristics of normal operations and violations through a large amount of video data. In terms of imaging, high-definition surveillance cameras are used to collect real-time video images of the back kitchen, ensuring clear images and rich details. In hardware, edge boxes are equipped to process and analyze video data in real-time. This platform is effective because deep-learning algorithms have strong feature-extraction and classification capabilities, which can accurately distinguish between normal and abnormal behaviors. At the same time, the real-time processing ability of the edge boxes ensures the timeliness of alarms. Once a violation is detected, an alarm signal can be immediately sent.

• The deep-learning algorithm can continuously learn and optimize to adapt to different back-kitchen environments and operation scenarios.
• High - definition imaging ensures the accuracy of data, providing a reliable basis for model training and analysis.
• The local processing of the edge boxes ensures that all data stays on - site, guaranteeing data security.
• Combined with the semantic understanding ability of the DaoAI World model, it can more accurately identify and analyze complex behaviors and events.

WeLinkirt's Solution and Product

Centered around the SkyVision zero-code video surveillance AI platform, it has the ability to train its own model on - site within hours. Enterprises can quickly train a monitoring model suitable for their own back kitchens according to their needs and characteristics. The behavior/event recognition function can accurately identify the operation specifications of personnel and the hygiene conditions of the environment. The real-time alarm function of the edge boxes ensures that once a violation is found, relevant personnel can be notified in time for processing. Moreover, the platform supports 100% local data storage, ensuring the security of enterprise data. The supporting DaoAI World model provides strong semantic understanding ability, further enhancing the platform's recognition and analysis capabilities.

The SkyVision zero-code video surveillance AI platform brings an efficient and accurate solution to back-kitchen supervision in the food industry.

Quantitative Results: By using the SkyVision platform, the enterprise's detection rate of violations has reached 98.5%, greatly improving the accuracy of supervision. The false-alarm rate has decreased by -75%, reducing unnecessary interference. At the same time, the model-changing time has been shortened to 5min. When the enterprise has new operation specifications or supervision requirements, it can quickly adjust the monitoring model to adapt to new changes.