Which is the best smoking behavior recognition system for safe production?

Because smoking not only endangers the health of the smoker and the people around him, but also may cause hidden dangers such as production safety and fire in non-smoking areas, indoor smoking has attracted the attention of various countries, and corresponding policies have been issued to prohibit it; In 2018, China proposed for the first time to study and formulate a national legal regulation on smoking ban in public places, and fully implement the ban on smoking in public places within three years;

The existing smoke alarm realizes fire prevention only by monitoring the concentration of smoke, but for places that are prone to fire but smokers in public areas such as teahouses and KTVs, the traditional smoke alarm is easy to false alarm and omission; Therefore, it is necessary to accurately carry out smoke alarm in places where there are many smokers, and use artificial intelligence technology to achieve supervision, achieve the purpose of effective tobacco control, avoid the harm of second-hand smoke, and reduce the occurrence of safety accidents;

The existing smoke control technology is mainly based on smoke sensors, and smoke sensors and alarm devices are installed in non-smoking places, and when the sensors detect smoke, an alarm is generated;

But relying on smoke sensor to control smoke, there is a serious problem of missed detection and false detection, when the indoor environment is slightly empty, one or a few people's smoking produces less smoke, the sensor can not detect and miss the detection, compared with the smoke sensor used in general fire fighting, the smoke sensor dedicated to smoke control will be set very high in order to detect a small amount of smoke, resulting in serious misjudgment;

Traditional tobacco control methods, after the detection of smoke, although the alarm will alarm, but the management personnel can not manage it efficiently, can not collect evidence in time, do not form an effective closed loop, resulting in limited tobacco control effect, and will also produce false positives, false alarms.

It can monitor the operation area in real time, and when it is found that someone is smoking in the monitoring area, it will actively trigger the alarm prompt, and notify the safety production smoking behavior recognition system through SMS, **, alarm voice, etc.

1.The alarm accuracy is high.

2.Real-time identification of alarms.

Based on intelligent analysis and deep learning neural network technology, real-time monitoring of non-smoking areas, when someone is detected to smoke illegally, the alarm will be triggered immediately, and the alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal.

3.All-weather operation, stable and reliable.

4.Alarm storage function.

Real-time monitoring of non-smoking areas, when someone is detected to smoke illegally, the alarm will be triggered immediately, and the alarm information will be stored in the server database, including time, place, snapshot, etc.

1.The alarm accuracy is high.

2.Real-time identification of alarms.

Based on intelligent analysis and deep learning neural network technology, real-time monitoring of the construction operation area, when someone is detected, timely warning, alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal.

3.All-weather operation, stable and reliable.

4.Alarm storage function.

Real-time monitoring of the construction operation area, when someone is detected, timely warning, and the alarm information is stored in the server database, including time, place, snapshot, etc.

1.The alarm accuracy is high.

2.Real-time identification of alarms.

Based on intelligent analysis, real-time monitoring of non-smoking areas, when someone is detected to smoke illegally, the alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal.

3.All-weather operation, stable and reliable.

4.Alarm storage function.

Real-time monitoring of non-smoking areas, when someone is detected smoking illegally, an alarm will be immediately given, and the alarm information will be stored in the server database, including time, location, snapshot, etc.

Beitvision Smoking Monitoring and Identification System.

There is more than one solution to this problem, and I think the solution I am thinking about will not solve your problem accurately, and the detailed answer needs to be thought of by yourself.

Tobacco smoke contains at least three dangerous chemicals: tar, nicotine and carbon monoxide, which is a mixture of several substances that concentrate in the lungs.

The smoke identification and monitoring system is based on intelligent analysis, automatically analyzes and identifies the image information, without manual intervention, real-time monitoring of non-smoking places and fire-proof and explosion-proof places, and immediately triggers an alarm when the personnel in the scene are monitored to smoke illegally, effectively assisting the management personnel to work.

The function is to give timely warning when someone is smoking, effectively assist managers in their work, and minimize false positives and understatements, and reduce the cost of human supervision.

1.The alarm accuracy is high.

2.Real-time identification of alarms.

Based on intelligent analysis and deep learning neural network technology, the operation area is monitored in real time, and when someone is found to smoke in the operation monitoring area, the alarm prompt is immediately triggered, and the alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal.

3.All-weather operation, stable and reliable.

4.Alarm storage function.

Real-time monitoring of the operation area, when it is found that there is smoking in the monitoring area, the alarm prompt will be triggered immediately, and the alarm information will be stored in the server database, including time, place, snapshot, etc.

The smoking behavior recognition system can immediately cause a warning due to smoke

Truly achieve pre-warning, normal detection during the event, and standardized management after the event, so as to free security operators from the complicated and boring task of "staring at the screen".

The identification and detection system provides advanced technical means for safety production management, and builds an intelligent monitoring and prevention system through various monitoring devices installed in the monitoring area.

Effectively make up for the shortcomings of traditional methods and technologies in supervision, realize all-round real-time monitoring of the monitoring area, and change passive "supervision" to active "monitoring"; Truly achieve early warning in advance, normal detection during the event, standardized management after the event, and achieve information management of safety production.

The identification and detection system can eliminate hidden dangers of accidents, build a solid line of defense for safe production, implement safety rules and regulations, strengthen safety precautionary measures, and help the intelligent upgrade of safe production.

The safety production smoking behavior recognition system monitors the prohibited area 24 hours a day, and when someone is smoking, it immediately triggers an alarm to prevent the occurrence of safety accidents.

In construction sites and coal mines, because there are insulation materials and flammable materials storage, fire prevention work is the top priority, a cigarette butt may lead to disasters, resulting in huge loss of life and property, so construction sites and coal mines are prohibited from smoking. However, there are always some workers who will have a fluke mentality, avoid safety inspections and smoke, burying huge safety hazards.

Safety production smoking behavior recognition system based on intelligent analysis, real-time monitoring of the screen, when found that there is smoking in the screen, immediately alarm, effectively assist the safety management personnel to work, minimize false alarms and false negatives, truly achieve pre-warning, normal detection in the event, standardized management after the event, and free the security operators from the complicated and boring "staring at the screen" task.

The smoking recognition system automatically identifies the smoking action in the detection area, and if the person is detected smoking, it can immediately alarm, and the alarm signal is synchronously pushed to the management personnel to prevent the fire caused by sparks, avoid potential safety accidents, greatly improve the control efficiency of the work area, and ensure the safety of the staff.