Name of Application Service |
Recovering Serenity: Revolutionizing Peaceful Living with Advanced AI Noise Reduction Technology |
Name of Unit |
Taoyuan City Police Department |
Hyperlink |
https://www.typd.gov.tw/ |
Name of the Collaborative Group |
BOVIA Co. Ltd. |
Hyperlink |
Bovicloud.com |
Brief of the Application or Service |
The Taoyuan City Government has discovered that most modified vehicles inspected exceed noise limits, posing significant enforcement challenges. The goal is to reduce noisy vehicles through source control, using sensors and high-resolution cameras for evidence-based enforcement, thus enhancing efficiency and credibility. The Taoyuan City Police Department, in collaboration with the Environmental Protection Bureau, launched the "Silent Peach Project" to crack down on racing and noisy vehicles. By integrating AI technology to identify modified exhaust pipes, they aim to enhance enforcement precision. This system is designed to create a quiet, comfortable living environment and improve citizen satisfaction.
System Application, Services, and Functions The system uses an AI-based modified exhaust pipe identification system. Services include cross-departmental and cross-agency cooperative enforcement, equipment procurement, inspections, and joint investigations. The Taoyuan City Police Department plays a leading role in developing and implementing this system, ensuring fair and just enforcement, maintaining the quality of life for citizens, and fostering a peaceful and pleasant community. |
Brief of Innovation Initial and Achievement |
The Taoyuan City Police Department, in partnership with BOVIA Co. Ltd., has launched the nation's pioneering AI patrol system after an eight-month development period. This innovative system enhances automation, increases the accuracy of identifying moving vehicles, and reduces costs, addressing issues like inadequate traffic monitoring coverage. By integrating AI technology into law enforcement equipment, Taoyuan City leads the way with the addition of an "AI modified exhaust pipe identification" feature to eight police motorcycles, creating a comprehensive "AI patrol protection network." The system boasts functions such as vehicle identification, trajectory tracking, and automatic alerts with voice warnings on terminal devices.
The automation and data collection capabilities of this technological enforcement not only save human resources and time but also overcome the drawbacks of traditional methods, where officers spend substantial time waiting on site. This significantly enhances enforcement efficiency and reduces costs, making it a wise utilization of municipal resources. |
Challenges and Solutions for the Application Deployment |
Detection in Motion and Changing Ambient Lighting: Collect footage from various scenarios and weather conditions. Use data augmentation techniques such as rotation, cropping, scaling, color adjustment, and adding noise to enhance training data. Real-Time Multi-Vehicle Recognition Under High Load: Optimize the model parameters and architecture by leveraging knowledge distillation to enable smaller models to retain the capabilities of complex models, making them suitable for mobile devices or embedded systems. |
Innovation Index |
Cutting-edge mobile edge recognition for modified exhaust pipes, achieving practical deployment with high performance and accuracy levels.
|
Future Plan |
Make full use of patrol resources to establish cross-departmental collaboration, expanding applications for mobile patrol recognition and maximizing cooperative efficiency. |