Luggage Trolley Monitoring, Identification and Alarm System

The monitoring, recognition and alarm system of Guangzhou Ketiou luggage trolley case combines computer vision and edge computing image analysis technology. We collected a large number of luggage images from the database for model training, and optimized the luggage styles commonly used by Chinese passengers. The system can automatically eliminate interference from small items such as backpacks and handbags, and focus on monitoring large luggage that may block the passage. When illegal luggage is detected, relevant information will be pushed to the mobile terminals of on-site staff in real time, forming a complete disposal loop.

Recently, many public places such as airports and subway stations in China have been piloted and put into useLuggage Trolley Monitoring, Identification and Alarm SystemThis intelligent management measure has attracted widespread attention from society. The system uses Guangzhou Kediou AI intelligent image recognition technology to monitor passengers carrying large luggage in real time, aiming to improve the safety and efficiency of public transportation.

1、 Technical principles

Guangzhou Kedi OuLuggage Trolley Monitoring, Identification and Alarm SystemIt combines computer vision and edge computing image analysis technology. We collected a large number of luggage images from the database for model training, and optimized the luggage styles commonly used by Chinese passengers. The system can automatically eliminate interference from small items such as backpacks and handbags, and focus on monitoring large luggage that may block the passage. When illegal luggage is detected, relevant information will be pushed to the mobile terminals of on-site staff in real time, forming a complete disposal loop.

2、 System advantages

One is to shorten the recognition response time to 0.3 seconds to adapt to the fast traffic demand during peak hours; The second is to increase multi angle cameras to solve the problem of obstruction when passengers are densely packed; The third is to introduce weight prediction algorithms to synchronously warn luggage that is significantly overweight. Data shows that after the system was implemented, platform congestion decreased by about 40%, and passenger disputes decreased by 25% year-on-year.

3、 System application

Special scenario applications are expanding, and a tertiary hospital recently piloted the system for emergency channel management, effectively preventing wheelchair and stretcher channels from being occupied by luggage. With the advancement of computer vision and IoT technology, such systems may evolve into more intelligent 'travel assistants'. In the balance between technological innovation and social acceptance, the development trajectory of this system reflects the typical path of China's smart city construction - guided by practical problems, improved in pilot projects, and ultimately formed replicable solutions.