Bright Kitchen and Stove
The 'Bright Kitchen and Stove' project ensures consumers can eat with peace of mind through transparent kitchen operations. However, traditional cameras can only achieve "live streaming" and cannot actively detect problems. How to make regulation smarter and more efficient, while respecting privacy and humanity? We at Vietadata have launched the "Smart Bright Kitchen and Stove Solution" based on leading AI visual complex scene technology. With high-precision behavior recognition, on-site engineering optimization, and AI ethical design as the core, we aim to help the catering industry upgrade from "passive display" to "active regulation".
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| Chef's Clothing Inspection | Chef Hat Inspection | Standardized Identification |
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| Garbage Can Without Lid | Small Animals | Smoke |
- Employee operating standards: Identify violations such as not wearing masks/hats, smoking, and playing with mobile phones, and automatically trigger alarms.
- Stranger Alert: Prevent non staff members from entering the kitchen through facial comparison.
- Hand hygiene monitoring: Combined with intelligent hand washing stations, verify the compliance of hand washing processes.
- Health risk warning: detecting rodent and insect activity, garbage overflow, mixing of raw and cooked food, and other issues.
- Equipment safety management: Monitor hidden dangers such as open flames leaving the post and refrigerator doors not being closed.
- Freshness screening of ingredients: Identify signs of spoilage and record key processing steps (such as the use of additives).
- Digital log generation: Automatically mark operation time, responsible person, and support full traceability.
- Live streaming privacy protection: automatically blurs facial information to ensure compliant live streaming.
- Public participatory supervision: generate a "hygiene rating" report through AI, which consumers can view by scanning the code.
- Automated reporting: Statistics of violation events and equipment abnormal duration to assist in management decision-making.
- Remote centralized supervision: Support regulatory departments to simultaneously access data from multiple stores and conduct targeted investigation of high-risk issues.
Dynamically optimize algorithm parameters to ensure precise behavior recognition in complex kitchen environments such as steam interference and multi person occlusion.
Example: To address the issue of steam interference on the stove in Chinese style kitchens, multispectral imaging is used to enhance image clarity and reduce false alarm rates by 40%.
Customize specialized models for tool detection and ingredient classification based on different types of catering, such as hot pot restaurants and bakeries.
Engineers are stationed on site to collect data, combined with the kitchen workflow (such as the rhythm of meal preparation during peak periods), to optimize the algorithm trigger threshold.
Case: The "mask wearing detection" of a certain chain restaurant improved its accuracy from 90% to 97% by adjusting the recognition range of the head tilt angle.
Deploy lightweight models on the camera end to achieve real-time response (<200ms), while synchronizing data training iterations in the cloud.
Balancing regulation and privacy rights through real-time facial blurring and desensitization of work permit information.
·Real time voice reminder: When violations are found, prompts such as "please wear a mask" will be played on site, replacing the pure punishment mechanism;
·Transparency of rules: Publicize algorithm logic to employees (such as "how the system determines not washing hands") to reduce resistance.
AI assisted reduction of 60% in inspection manpower, rather than replacing employees; Data is used to optimize processes, not for 'monitoring penalties'.
| Scene | Pain Points of Traditional Solutions | Improvement of Vietadata Solution | Effect |
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Monitoring of employee hand washing compliance rate |
Relying on manual spot checks, with low coverage |
AI recognizes hand washing steps and duration, and provides real-time reminders for violations |
Compliance rate increased from 58% to 96% |
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Kitchen rodent warning |
Response lag only by regular disinfection and sterilization |
Dynamically detect the activity of rats and insects, and automatically trigger the disinfection and sterilization work order |
80% reduction in rodent complaints |
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Compliance management of food storage |
Raw and cooked mixed storage difficult to trace |
AI identifies storage areas and automatically records violations |
Cross contamination risk reduced by 66% |
Conclusion - Technology Empowerment Requires More Value Leadership
Vietadata's "Bright Kitchen and Stove" AI solution not only solves technical problems through high-precision algorithms and engineering optimization, but also redefines the role of AI in food safety with the design concept of privacy protection, employee friendliness, and process transparency - technology is an assistant for standardized operations, not a monitoring tool. We are committed to making food safety supervision smarter and more humane, ultimately achieving a win-win situation for consumers, businesses, and employees.
