The mainstream edge AI algorithm applications on the market

The mainstream edge AI algorithm applications on the market

At present, the mainstream edge AI algorithm applications on the market include face and key point detection. Key point monitoring is achieved by quickly detecting faces and marking facial coordinates, extracting key points including cheeks, eyebrows, clothing, mouth, nose, and other facial features for facial alignment, accurately identifying multiple attribute information, and providing reliable support for facial recognition.
Pedestrian attribute analysis, which obtains high-precision recognition of pedestrian attribute information and actions through pedestrian detection, including gender and age, clothing category, clothing color, wearing items, behavioral actions, etc., provides rich structured information, which can be used for efficient video material management and precise marketing.
License plate and vehicle model detection and recognition, detecting the position of the main vehicle, identifying the license plate and vehicle brand and model, and supporting multi-channel visual inference, which can be applied to scenarios such as parks and traffic parking lots.
Object detection such as safety helmets can detect safety helmets and faces based on pedestrian attribute analysis algorithms, determine whether to wear safety helmets through visual perception, support multi color safety error recognition training, and can also be used for detection and recognition of various objects.
Elevator electric vehicle recognition warning, electric vehicle recognition algorithm is to detect and recognize various types of electric vehicles. When an electric vehicle is detected entering the elevator, the camera can directly issue an alarm and automatically upload alarm information, on-site images, videos and other data to the cloud platform. The management personnel can receive information in a timely manner, view the on-site situation, and handle it in a timely manner.
Personnel work uniform recognition is achieved by detecting and identifying various types of work uniforms. In the office or construction site, cameras can directly monitor whether personnel are wearing designated clothing. If personnel who are not wearing designated work uniforms are detected, they will automatically report management information, on-site images, and transmit them to the cloud platform. Management personnel can receive information, view the on-site situation, and handle it in a timely manner,
From the perspective of the application industry, edge AI algorithms are used in the manufacturing industry to monitor the operation status of production lines in real time, analyze data collected by sensors in real time, predict possible equipment failures, and perform preventive maintenance. This greatly improves the stability and efficiency of the production line, and reduces maintenance costs.
In the construction of smart cities, edge AI algorithms are used to analyze real-time data such as traffic flow and vehicle driving conditions, providing decision-making support for traffic management departments. By deploying sensors and cameras on the roadside, traffic conditions can be monitored in real-time, and the timing of traffic signals can be automatically adjusted to alleviate traffic congestion.
In the retail industry, edge AI algorithms are used for customer flow analysis and product recommendation in intelligent stores. By installing cameras and sensors inside the store, real-time monitoring of customer flow, shopping behavior, and other data can be achieved, providing customers with a more personalized shopping experience.
In the field of energy management, edge AI algorithms are used to monitor the operational status of facilities such as power grids and oil pipelines in real-time, predict energy demand and supply, and achieve optimal energy utilization. Sensors and edge computing devices deployed on energy facilities can collect and analyze data in real time to provide decision-making support for energy management departments.

Practical application cases of edge AI in security, retail, transportation and other fields

After years of development, there are now many enterprises involved in the edge AI field, including chips, algorithms, computing facilities, overall solutions, etc., and there are also many practical application cases.
Ruhong Soft Technology has a broad layout and practice in edge AI applications. The AI algorithm of Hongsoft Technology is widely used in the cameras of smartphones, achieving various intelligent photography functions, such as facial recognition, portrait segmentation, beauty, night mode, etc. These algorithms run on the mobile phone chip, that is, edge computing is realized, ensuring the real-time and efficiency of photography.
Hongsoft Technology's edge AI technology has also been applied in the field of intelligent security. By deploying AI algorithms on cameras or other edge devices, facial recognition, behavior analysis, anomaly detection, and other functions can be achieved, providing intelligent solutions for security monitoring.
In the field of smart retail, Hongsoft Technology's edge AI technology can help merchants achieve more accurate customer flow analysis, product identification, intelligent shopping guidance and other functions. By deploying edge AI devices in stores, real-time customer behavior data can be collected and analyzed, providing decision support for businesses.
Another example is Kunyun Technology, whose edge AI solutions have been applied in many fields. Kunyun has provided smart gas station solutions for nearly 1000 gas stations in Shandong, just like smart gas station solutions.
By integrating the AI computing hardware products and specific algorithms (such as smoking recognition, phone recognition, personnel departure recognition, smoke and fire recognition, fire extinguisher recognition, static discharge time detection, etc.) of the Starry Sky X6A edge small station, intelligent detection and early warning functions for accident prone and frequent locations and links such as refueling and unloading areas have been achieved.
This solution fully utilizes the existing security analysis solutions such as cameras at gas stations, helping them achieve functions such as pre warning, in-process control, and post evidence collection, thereby improving the safety management efficiency of gas stations.
In the coal chemical park, Kunyun Technology provides an AI intelligent video system to achieve intelligent analysis and hazard identification of key areas throughout the park.
This system utilizes AI technology to intelligently analyze the non-standard behaviors of enterprises in the park, such as hot work, high-altitude, and space limited operations, and can provide early warning and rapid disposal. At the same time, the system also achieves comprehensive coverage, real-time monitoring, and effective control of chemical enterprises, important chemical facilities, and hazardous chemical transportation vehicles in the park, improving the safety management level of the park.
The intelligent transportation solution of Kunyun utilizes AI technology to process and analyze traffic data in real-time, achieving functions such as traffic congestion prediction, traffic signal control, and accident warning.
By deploying cameras and sensors at intersections and road sections, real-time monitoring of traffic flow, vehicle speed, and other information can be achieved, and intelligent algorithms can be used to evaluate and predict traffic conditions, providing decision-making support for traffic management departments. This solution effectively improves the intelligence level of traffic management and enhances road traffic efficiency.