Building a new ecosystem for laboratory safety management with AI machine vision Relying on a security data base of tens of millions and integrating multimodal large language models, we build a high-precision hidden danger risk identification system to protect laboratory safety in all aspects. ·Accurate identification·Active warning·Full coverage
·Remote viewing on mobile phones
Taking laboratory safety as the scenario, AI machine vision refers to a technical system that captures real-time images through visual acquisition equipment deployed in the laboratory (such as high-definition cameras, thermal imagers, etc.), and then intelligently analyzes the images through AI deep learning algorithms to automatically identify safety issues such as "illegal operation by personnel, abnormal equipment, chemical risks, and environmental hazards", and then triggers early warnings, linkage of emergency equipment or notification of management personnel. Its core value is to upgrade laboratory safety management from "passive post-event traceability" to "active pre-warning", solving the pain points of "slow response, easy omission, and difficult to cover" of traditional manual inspection and ordinary monitoring.
Relying on AI machine vision technology, Novel has created a comprehensive laboratory safety intelligent monitoring system. Through high-precision algorithms, 20+ risk scenarios such as flames, smoke, equipment abnormalities, and personnel violations are identified in real time, combined with multi-modal data fusion (video stream, temperature and humidity, gas detection) to achieve 360° risk assessment. The system adopts deep learning algorithms and edge computing equipment to respond to early warnings at the millisecond level, and link emergency measures such as ventilation and power outage, improving the efficiency of accident response.
It covers core scenarios such as fire prevention and control, hazardous chemical management, gas cylinder safety, electricity consumption specifications, heating equipment safety, and hidden dangers of personnel behavior, successfully helping the laboratory achieve zero safety accidents, reducing the accident rate and saving labor costs. With the concept of "accurate identification, active early warning, and safety without dead ends", Nofiel reshapes the new standard of laboratory safety management and empowers scientific research safety and efficient management.
AI Machine Vision Laboratory
·Frequent accidents involving hazardous chemicals
·Irregular personnel experiments
·High rate of missed inspections during manual inspections
·Passive response after the event
·Decentralized management
·Compliance relies on manual labor
Traditional laboratories
·7x24 hours automatic monitoring, high risk coverage
·Multimodal data cross-validation, reducing false positive rates
·Early warning of risks
·All laboratories are managed on one screen, data is synchronized with the cloud, and retrospective analysis is supported
·Al enforces standardized operating procedures and has a high compliance rate
AI Security Monitoring - Security Incident Alert
Behavior recognition + environmental early warning has greatly reduced the accident rate
AI Security Monitoring - Security hazard alert
AI full-cycle protection, 24-hour intelligent inspection + risk prediction, to ensure the safety of people/objects/environment.
• Flame recognition
• Smoke identification • People fall to the ground
• No lab coat
• Slippers are worn in the laboratory • Hair bundles in the laboratory
• Flammable materials are stacked near the hazardous chemical cabinet • Debris is stacked in the fume hood • The window is too high when using the fume hood • The window of the fume hood is not pulled down when not in use • The power strip is placed on the heating equipment The power strip is placed on the gas cylinder and flammable materials are stacked near the power strip • The safety passage is blocked • The laboratory is unoccupied and the door is not closed
7×24h full-time domain risk scan · Hidden dangers are intercepted in advance
Multi-dimensional recognition, second-level evaluation, and millisecond response to accurately identify hidden dangers
Real-time situation deduction × collaborative disposal system to eliminate accidents in the bud
Laboratory gas safety monitoring
Cylinder leak monitoring Gas pressure monitoring Leakage cuts off the air source Gas cylinder flow traceability Gas cylinder usage records
University lab
Hospital laboratory
Chemical Laboratory
Inspection and testing laboratory
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ISO Quality Management System Certification
Certified Software Enterprise
AAA Credit-Rated Enterprise
Member of the Laboratory Management Branch of the China Association of Higher Education
Member of Jiangsu Association for Artificial Intelligence
Council Member of Jiangsu Renewable Energy Industry Association
Nofar Information Technology Co., Ltd.
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Intelligentization of university laboratories
Intelligentization of inspection & testing laboratories
Intelligentization of biomedical laboratories
Intelligentization of petrochemical laboratories
Intelligentization of hospital & disease control laboratories
Intelligentization of scientific research institution laboratories
Intelligentization of new energy laboratories