Factory Production Site Management Safety Emergency/Hazardous Chemical Industrial Park Smart Transportation Industrial Dust Explosion-related Production Smart Inspection and Patrol Smart Finance Smart Charging Station Community/Shop/Campus |
 By training and optimizing a large number of image data containing scenes of miscellaneous item storage, it is possible to accurately identify various situations of miscellaneous item storage. Thro... |
 Train and optimize based on large-scale safety operation scene image data to achieve accurate identification and monitoring of safety belt tail ropes. By cooperating with on-site cameras, this algo... |
 The training and learning of image data for large-scale manned duty scenes can achieve accurate identification and monitoring of the number of duty personnel. This algorithm works closely with on-s... |
 Based on large-scale insulation operation scene image data, training and optimization can accurately identify whether operators are wearing insulation gloves. This algorithm, combined with on-site ... |
 By training and optimizing image data of large-scale personnel smoking scenes, it is possible to accurately identify whether individuals are smoking. This algorithm, when used in conjunction with o... |
 By training and optimizing the image data of personnel flow in large-scale office areas, it is possible to accurately identify whether employees have left their posts. This algorithm, combined with... |
 By recognizing and training the image data of large-scale personnel movement in areas, combined with on-site cameras, it is possible to accurately monitor whether personnel have crossed predetermin... |
 The reflective clothing recognition algorithm is based on large-scale reflective clothing data recognition training, combined with on-site cameras, automatically monitoring whether personnel are we... |
 The safety helmet recognition algorithm is based on large-scale safety helmet data recognition training, combined with on-site cameras, to automatically recognize the wearing of safety helmets by o... |
 The job status monitoring algorithm is based on large-scale job position image data recognition training, combined with on-site cameras, to automatically monitor whether workers in places such as f... |
 Real time monitoring and intelligent analysis of the top floor area of the building can automatically detect various abnormal behaviors within the top floor area, such as unauthorized personnel ent... |
 By recognizing and training the image data of large-scale personnel movement in areas, combined with on-site cameras, it is possible to accurately monitor whether personnel have crossed predetermin... |
 The safety helmet recognition algorithm is based on large-scale safety helmet data recognition training, combined with on-site cameras, to automatically recognize the wearing of safety helmets by o... |
 The personnel fall recognition algorithm is based on artificial intelligence visual analysis technology, which monitors personnel fall events in the monitoring area in real time, ensuring personnel... |
 The vehicle overspeed recognition algorithm is based on artificial intelligence visual analysis technology, specifically used for real-time monitoring of the driving speed of vehicles in outdoor st... |
 The vehicle random parking recognition algorithm is used to monitor the parking situation of vehicles in the outdoor street monitoring area in real time. It can accurately identify and handle the b... |
 The personnel stay recognition algorithm is used to monitor the activity of personnel in the outdoor street monitoring area in real time, especially for precise identification of long-term stay beh... |
 The personnel smoking recognition algorithm is used to monitor the smoking behavior of personnel in the monitoring area in real time. By accurately identifying and analyzing the image information i... |
 Train and optimize based on large-scale electrostatic discharge scene image data to achieve accurate recognition of electrostatic discharge events. By working in conjunction with on-site cameras, t... |
 The personnel sleeping position recognition algorithm is used to monitor the sleeping behavior of personnel in indoor or outdoor monitoring areas in real-time, and can accurately identify whether p... |
 Using mobile phone recognition algorithms to identify and analyze whether individuals are using their phones can help companies achieve precise monitoring and management of employee behavior, impro... |
 The recognition algorithm for work clothes extracts feature information such as color, texture, and shape of work clothes, achieving automatic recognition of employees wearing work clothes. |
 The material height recognition algorithm is used to monitor the height of materials in warehouses, production lines, or other material stacking areas in real-time, to ensure that material stacking... |
 The instrument recognition algorithm is used to achieve automatic recognition and reading of various instrument pointer readings or digital displays. It is widely used in industrial automation, ene... |
 The gas release recognition algorithm is used to automatically detect and identify potential gas release events in outdoor monitoring areas. By analyzing monitoring videos in real time, abnormal ga... |
 The flame and smoke recognition algorithm is used for real-time monitoring and analysis of the flame and smoke conditions in surveillance videos, in order to quickly detect and respond to potential... |
 The driving phone detection algorithm accurately determines whether the driver is using a mobile phone by capturing key information such as the driver's hand movements, line of sight direction, and... |
 The seat belt detection algorithm for driving without sending a seat belt is based on deep learning and training of large-scale driving image datasets, specifically designed to work with in car cam... |
 The congestion detection algorithm analyzes and determines whether there is congestion on the road by capturing various traffic parameters such as traffic flow, vehicle speed, and vehicle spacing. ... |
 The vehicle violation detection algorithm is based on deep learning and training of large-scale traffic image datasets. By extracting vehicle features from images, combined with traffic rules and r... |
 The lane change detection algorithm has high accuracy and real-time performance, and can meet the lane change detection needs in different traffic scenarios and complex road conditions. Whether on ... |
 The accident detection algorithm accurately determines whether a traffic accident has occurred by capturing the position and motion information of key elements such as vehicles, pedestrians, and ro... |
 The occupied emergency lane detection algorithm accurately determines whether a vehicle has illegally occupied the emergency lane by capturing key information such as vehicle position, lane recogni... |
 The pedestrian detection algorithm is based on deep learning and training of large-scale pedestrian image datasets, specifically designed to cooperate with cameras to detect pedestrians in real-tim... |
 Real time monitoring and recognition of smoke conditions in the environment. |
 By integrating advanced image recognition, sensor technology, and big data analysis, rapid and accurate identification of abnormal phenomena such as flames can be achieved. |
 The regional intrusion detection algorithm is an algorithm that monitors whether unauthorized personnel or objects have entered a specific area. It is usually used in security monitoring systems an... |
 Real time monitoring and automatic analysis of fire evacuation exits and passages in public places, capturing image data of exits and passages. |
Train and optimize based on large-scale electrostatic discharge scene image data to achieve accurate recognition of electrostatic discharge events. By working in conjunction with on-site cameras, t... |
 By training and optimizing a large amount of image data from air pagers, it is possible to accurately capture the characteristics of air pagers and effectively distinguish their differences from th... |
 The mask recognition algorithm is based on artificial intelligence visual analysis technology, which effectively monitors the wearing status of masks by staff in workplaces such as hospitals and ki... |
 The road damage detection algorithm is used for real-time monitoring and analysis of road damage conditions in outdoor street monitoring areas. It can automatically detect and identify various poss... |
 The inspection personnel detection algorithm is based on the training of large-scale inspection personnel image data, which enables the model to accurately recognize the characteristics of inspecti... |
 The inspection area detection algorithm is based on the training and learning of large-scale data, which monitors and identifies in real-time whether there are abnormalities or specific targets in ... |
 The inspection abnormal behavior detection algorithm achieves precise detection of inspection abnormal behavior through large-scale data training and learning, and is used for real-time monitoring ... |
 The object movement detection algorithm monitors the real-time movement of objects in video streams and triggers corresponding responses when object movement is detected. |
 The personnel smoking detection algorithm is used to monitor the smoking behavior of personnel in the monitoring area in real time. By accurately detecting and analyzing the image information in th... |
 The personnel stay recognition algorithm is used to monitor the activity of personnel in the monitoring area in real time, especially for precise identification of behaviors of long-term stay. |
 The safety helmet detection algorithm is based on large-scale safety helmet data recognition training, combined with on-site cameras, to automatically identify the wearing of safety helmets by on-s... |
 The wealth management room monitoring algorithm is based on the recognition and training of large-scale wealth management room environmental image data, combined with on-site cameras, to automatica... |
 Counter staff use outside cash clearing equipment that is trained on large-scale image data from counter service scenarios to identify and recognize. Coordinated with on-site cameras, it automatica... |
 The detection algorithm for customers staying alone in centralized office areas is based on large-scale office environment image data recognition training, combined with on-site cameras, automatica... |
 The recognition algorithm for cash transport vehicles not parked within the video surveillance range is based on large-scale cash transport vehicles and monitoring camera position data recognition ... |
 The lobby manager vacancy recognition algorithm is based on large-scale lobby manager image data recognition training, combined with on-site cameras, automatically monitoring whether lobby managers... |
 The single person handover recognition algorithm for escorting banknotes is based on large-scale escort personnel image data recognition training, combined with on-site cameras, to automatically mo... |
 The algorithm for identifying leftover cash boxes is based on the training of recognizing large-scale bank cash box image data. Combined with on-site surveillance cameras, it automatically monitors... |
 The algorithm for identifying leftover cash boxes is based on the training of recognizing large-scale bank cash box image data. Combined with on-site surveillance cameras, it automatically monitors... |
 The algorithm for recognizing leftovers is based on the training of recognizing large-scale image data of leftovers in public places. Combined with on-site cameras, it automatically monitors whethe... |
 The camera occlusion detection algorithm is based on large-scale monitoring camera image data recognition training, combined with on-site cameras, to automatically monitor whether the camera is obs... |
 The algorithm for identifying channel blockage is used for real-time monitoring and analysis of channel blockage in surveillance videos, capable of automatically detecting obstacles or abnormal acc... |
 The vehicle random parking recognition algorithm is used to monitor the parking situation of vehicles in the outdoor street monitoring area in real time. It can accurately identify and handle the b... |
 The personnel fall recognition algorithm is based on artificial intelligence visual analysis technology, which monitors personnel fall events in the monitoring area in real time, ensuring personnel... |
 The personnel smoking identification algorithm is used for real-time monitoring of smoking behavior within the surveillance area. By accurately identifying and analyzing image information in survei... |
 The fire extinguisher recognition algorithm is used to monitor and analyze the presence of fire extinguishers in real-time from surveillance videos. It can automatically identify fire extinguishers... |
 The charging and dispensing recognition algorithm is used to monitor and analyze the vehicle dispensing situation in the charging facility area in real-time. It can automatically identify the dispe... |
 The charging entry recognition algorithm is used to monitor and analyze the vehicle entry situation in the charging facility area in real time. It can accurately identify the entry behavior of vehi... |
 The algorithm for identifying smartphone photography among shopping mall customers combines scene understanding technology to determine whether customers are using their smartphones to take photos,... |
 The outdoor billboard recognition algorithm uses image recognition technology to automatically detect and identify the content of outdoor billboards, and further analyzes the content of the billboa... |
 Facial expression recognition algorithms analyze facial images to identify a person's expression, categorizing the results as joy, sadness, anger, surprise, etc. Depending on the application requir... |
 The special customer entry recognition algorithm is based on large-scale and specific crowd image data recognition training, combined with on-site cameras, it automatically monitors whether special... |
 The Long-awaiting Customer Reminder System is based on large-scale customer behavior data recognition training, and combined with on-site cameras, it automatically monitors customers' waiting behav... |
 People Flow Analysis SystemThe People Flow Analysis System is based on large-scale crowd behavior data recognition training and is equipped with on-site cameras to automatically monitor and analyze... |
 The Fallen Personnel Risk Identification System is based on large-scale personnel behavior data recognition training and works in conjunction with on-site cameras to automatically monitor and analy... |
 The crowd detection algorithm is based on large-scale crowd behavior image data recognition training, combined with on-site cameras, to automatically monitor whether there is a gathering of people ... |
 The algorithm automatically identifies and tracks pedestrians who stay in a specific area for a long time in surveillance videos. This algorithm can be widely applied in various scenarios, such as ... |
 The cabinet detection algorithm is based on large-scale cabinet image data recognition training, combined with on-site cameras, to automatically monitor whether cabinets in places such as shopping ... |
 The cabinet detection algorithm is based on large-scale cabinet image data recognition training, combined with on-site cameras, to automatically monitor whether cabinets in places such as shopping ... |
 The dog detection algorithm is based on large-scale dog feature data recognition training, combined with on-site cameras, automatically monitoring places such as parks, communities, farms and so on... |
The occupied emergency lane detection algorithm accurately determines whether a vehicle has illegally occupied the emergency lane by capturing key information such as vehicle position, lane recogni... |
 The bag picking detection algorithm is based on large-scale bag picking image data recognition training, combined with on-site cameras, to automatically monitor whether the behavior of carrying bag... |
 The algorithm for identifying security personnel without security guards is based on large-scale image data recognition training, combined with on-site cameras, to automatically monitor sensitive a... |
 The facial recognition anomaly detection algorithm is based on large-scale facial image data recognition training, combined with on-site cameras, automatically monitoring whether there are people w... |
 The valuable item recognition algorithm is used for real-time monitoring and analysis of potential valuable items within the monitoring area. This algorithm extracts feature information of valuable... |
 The escalator stroller recognition algorithm is based on artificial intelligence visual analysis technology, used for real-time monitoring and analysis of possible strollers on the escalator to ens... |
 持刀械行为识别算法旨在实现对公共场所中潜在危险行为的实时监控与自动预警，利用深度学习算法对视频中的图像数据进行实时分析，能够精准识别出人员是否持有刀具或其他危险器械，并在发现异常行为时，立即触发报警机制。 |
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