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Product features

Real-time monitoring
·Real-time video streaming (risk hazards + safetyaccident monitoring)
·Remote viewing on mobile phones
Dynamic monitoringof hazard sources
Cylinder: Leaking/Dumpin+ Visual Analysis)Hazardous chemicals: excesive storage/mixedmixing of taboo productsHigh temperature equipmnt: unattended/currentand voltage over
Real-time alarms
Alarm real-time capture/video footageAlarm handlingRemote push and information viewing
High-precision machine visionalgorithms
Deep leamning identifies flames, smoke, violations(20+ scenarios).
Adaptive decision-making center
Based on large-scale model fine-tuning combined with RAG knowledge graph, risk deduction responds within seconds, making decision-making more intelligent and professional.
Real-time monitoring at the edge
Distributed Learning Architecture ·Dynamicincremental optimization model with millisecondresponse
About Norfiel Labs AI Machine Vision Security Monitoring

　　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.

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The difference between using a machine vision lab and a traditional lab

 

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

vs

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.


Norfiel Machine Vision supports more than 20 security application scenarios

Safety accident identification
• Flame recognition
• Smoke identification • People fall to the ground

Personnel behavior identification
• No lab coat
• Slippers are worn in the laboratory • Hair bundles in the laboratory
• Overnight experiments
• Sleep in the lab
• Illegal operation of equipment

Equipment hidden danger identification
• Unattended heating equipment • Flammable materials near heating equipment • The gas cylinder is not fixed and the gas cylinder is not listed • The gas cylinder is not on the ground
• The gas cylinder is not kept at a safe distance from the heating equipment • The hazardous chemical cabinet is not locked
• The hazardous chemical cabinet is not used by two people
• 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





Technical value
SERVICE
01
——
Risks can be encountered

7×24h full-time domain risk scan · Hidden dangers are intercepted in advance

02
——
The accuracy of the dangerous judgment

Multi-dimensional recognition, second-level evaluation, and millisecond response to accurately identify hidden dangers

03
——
Safe and controllable

Real-time situation deduction × collaborative disposal system to eliminate accidents in the bud

AI monitoring in the laboratory
Laboratory gas safety monitoring

——
Cylinder leak monitoring Gas pressure monitoring Leakage cuts off the air source Gas cylinder flow traceability Gas cylinder usage records
Gas cylinder subscription and recycling
Accident linkage control
Instrument and equipment safety monitoring
——
Instrument authentication and use management
High temperature instrument safety monitoring
Refrigerator temperature monitoring
Calibration Prompts
Overdue operation
solution
  • University lab
    University lab
  • Hospital laboratory
    Hospital laboratory
  • Chemical Laboratory
    Chemical Laboratory
  • Inspection and testing laboratory
    Inspection and testing laboratory
Contact information

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  • Requirement*

  • Email*

What is Al Machine Vision? What is the difference between it and traditional image processing?

AI machine vision is a branch of artificial intelligence that allows computers to automatically extract, analyze, and understand information from digital images or videos by giving them human-like visual capabilities.

Its core lies in the use of deep learning models and training on large amounts of data, allowing machines to learn to recognize features and patterns in images autonomously, so as to complete complex tasks such as detection, recognition, and classification. Its core advantage lies in its strong learning capabilities and adaptability, capable of handling complex and changing visual scenarios.


What is Al Machine Vision? What is the difference between it and traditional image processing?
Traditional monitoring: can only be "recorded" and "playback", relying on manual monitoring for a long time, low efficiency, and easy to miss. AI security monitoring: Capable of "analyzing" and "thinking" in real time. It automatically identifies people, vehicles, objects, and specific behaviors (e.g., falls, smoke) in the video and provides immediate warnings. It has changed from a passive "recorder" to an active "security sentinel".
Why is the lab an ideal scenario for applying Al vision technology?
The laboratory environment has the characteristics of high standards, high value, and high risk, and AI vision technology can provide 7x24 hours uninterrupted, objective, and accurate monitoring and analysis, which perfectly fits the core needs of the laboratory.

How can Al improve personnel safety in the lab?
Intelligent protection supervision: Automatically detect whether the experimenter is wearing protective equipment (such as gloves, goggles, lab coats) in a standardized manner, and remind them in time to eliminate potential safety hazards. Dangerous behavior warning: Identify abnormal conditions such as falls, stranded dangerous areas, smoke and flames in real time, realize second-level alarms, and gain prime time for emergency response. Authorized area control: Accurately identify personnel to prevent unauthorized entry into high-risk areas (such as chemical warehouses, special pathogen laboratories).
How can Al help labs improve efficiency and compliance?
Experimental Process Traceability: Automatically record key operational steps, providing visual evidence for experimental result reproduction and process auditing, ensuring the reliability and compliance of research data. Reduce human error: Automatically read instrumentation data, identify whether the operation process is standardized, and reduce data errors or experimental failures caused by human negligence. Fine asset and sample management: Quickly identify and track labels on samples and reagent bottles, monitor the real-time status and usage of valuable equipment, and improve management efficiency.
How does Al vision technology protect your lab's assets?
7*24 hours asset guard: Continuously monitor important instruments, hazardous chemicals, etc., and trigger an alarm immediately in case of abnormal movement. Environmental status monitoring: Monitor whether the refrigerator door is not closed, whether the water bath is dry and other environmental abnormalities to avoid sample loss or safety accidents caused by equipment failure.
Does deploying Al monitoring violate personal privacy?
Fully compliant and privacy-respecting. In terms of technical means, real-time face blurring, setting non-monitoring areas, and only recording alarm events instead of all-day video recording can be adopted. In terms of management, by clearly informing and formulating strict privacy policies, it is ensured that technology protects individual rights and interests while improving security.
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