Through scientific research, Ha Tinh Provincial Police have designed a facial recognition system and tested it in practice with high accuracy.
On the morning of May 24, the Department of Science and Technology held a conference of the advisory council to evaluate and accept the results of the research project on building an object recognition system using computer vision to serve the professional work of the Ha Tinh Police force . |
Colonel Nguyen Thanh Liem - Deputy Director of the Provincial Police Department, chaired the report at the conference.
The project is chaired by the Ha Tinh Provincial Police, headed by Colonel Nguyen Thanh Liem - Deputy Director of the Provincial Police. The project has been carried out since 2021 with the aim of researching and learning about artificial intelligence and delving into convolutional neural networks in facial recognition applications.
The project aims to build an artificial intelligence software system and computer vision to detect and identify faces of subjects in the investigation and clarification of cases, directly serving the fight against crime and law violations in Ha Tinh.
Computer Vision is a field of computer science that focuses on replicating the complex parts of the human visual system and allowing computers to identify and process objects in images and videos in the same way humans do. |
Mr. Le Van Dung - Department of Information and Communications (Reviewer 1) commented at the conference.
To date, the research team has completed the object recognition software; collecting more than 1,000 objects with facial images from many different angles. In addition to direct recognition, the research team also designed the software to recognize objects using images extracted from other sources.
In particular, after completing the software, the research team piloted the system at several intersections to collect more data and evaluate the effectiveness of the system in different situations. At the same time, the pilot was deployed at the Provincial Police Detention Center, serving to support the control of entry and exit of prisoners, prosecution agencies, officers and soldiers, etc. Through operation, the system has helped control and manage prisoners more effectively.
The research team piloted the recognition system in practice.
Through the topic, the research team also recommends continuing to build and develop new features to meet the needs of professional work (such as license plate recognition, passenger identification on public transport, etc.); allowing the deployment of object recognition systems into the professional work of the police force to improve the effectiveness of crime prevention in the area; implementing security and management of system data, ensuring safety and protecting people's privacy, etc.
At the conference, the council members also commented, advised, and gave some suggestions for the research team to complete the topic. The council voted to accept and evaluate the topic as excellent. At the same time, the project team was required to accept the comments of the council members and complete the report to recognize the research results.
Duong Chien
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