Taiwan's intelligent transportation technology has once again received international recognition! To improve the safety of disadvantaged pedestrians and enhance the safety and efficiency of ambulance operations, the Administration for Digital Industries, MODA funded the Institute for Information Industry's "Smart Mobile Space Aware Collaboration and Intelligent Analysis System Development and Application Project", aiming to combine AI image recognition technology and develop a warning system that reminds vehicles to yield to wheelchairs and ambulances at intersections. Currently, this system is being deployed on the roads surrounding Shin Kong Memorial Wu Ho-Su Hospital in Shilin District, Taipei City, enhancing the safety of both pedestrians and vehicles around the hospital. This technology has stood out among many AI solutions and has won the 2024 Artificial Intelligence Excellence Awards, organized by the Business Intelligence Group. The award is intended to recognize individuals, organizations, and products that demonstrate innovation and vision in the field of artificial intelligence.
Utilizing AI deep learning technology, the Institute for Information Industry has developed the "Life Guardian Pathway System" focusing on intersection safety. By applying AI image recognition technology to roadside cameras.
This system is able to accurately identify wheelchair users at pedestrian crossings, alerting approaching vehicles to be cautious and reducing the risk of collisions. Additionally, the system can detect ambulances passing through intersections and preemptively notify vehicles at the next intersection to yield, thereby enhancing intersection safety and the efficiency of ambulance operations.
Henry I-Heng Meng, Acting Director General of the Software Technology Institute of the Institute for Information Industry, stated that the advantage of the "Life Guardian Pathway System” lies in its ability to meet the special recognition needs of disadvantaged pedestrians and emergency vehicles, effectively identifying wheelchair users and ambulances passing through intersections. The system achieves a recognition accuracy rate of about 92% during the day and around 90% at night and in rainy conditions.
Besides its high recognition accuracy, the technology can analyze data based on road incident information, such as the frequency of wheelchair crossings and the impact of ambulances on travel speed. Additionally, it can predict road traffic flow. This data is presented in visualized graphs, enabling road management units to quickly grasp important intersection information and adjust traffic management strategies to improve intersection safety.
In addition to its high recognition accuracy, this technology can analyze data based on road incident information, such as the frequency of wheelchair crossings and the impact of ambulances on travel speed. At the same time, it can also predict road traffic flow. The data is then presented in visualized graphs, allowing road management units to quickly grasp important intersection information and adjust traffic management strategies to improve intersection safety.
In the future, the Institute for Information Industry will continue to enhance the "Life Guardian Pathway System" by integrating the system with related traffic information through Open APIs. This will accelerate the value-added application of traffic data, ensuring the safety of wheelchair users and ambulances at intersections. Additionally, by combining AI technology with human-centered traffic concepts, III hopes to raise drivers' awareness of road safety and foster more cautious and respectful driving attitudes. This initiative aims to improve the overall traffic environment and accelerate the development of smart cities.