Design of Real-time Safety Accident Prevention Solution for Socially Vulnerable using Object Recognition and Tracking Technology
Sung-Jin Jeoung1, Bong-Hyun Kim2

1Sung-Jin Jeoung, Seoul Business School, Seoul School of Integrated Science & Technologies, Seoul, Korea.
2Bong-Hyun Kim, Department of Smart IT, U1 University, Yeongdong-gun, Korea.
Manuscript received on 17 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 16 September 2019 | PP: 117-122 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10220782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1022.0782S619
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Abstract: All countries around the world want to create a safe society and a safe nation. However, crime targeting the socially vulnerable groups continues to increase. This is because the vulnerable groups have physical and physical weaknesses. Therefore, in order to pursue a safe society, it is necessary to protect the socially vulnerable. In this paper, we utilize the latest trend, drones, to protect against vulnerable groups. That is, we designed a real-time accident prevention solution for the elderly, the disabled, children and women using the drones. Drones’ autonomous flight technology, obstacle detection technology, collision avoidance technology, wireless communication linkage technology, and real time image transmission technology. Through this, we have studied to enable safe activities in the blind spot of CCTV. In this paper, we have identified the problem of crime prevention system using existing CCTV system. To solve this problem, we have developed a safety accident prevention solution using drones. To this end, we designed the drones to enable real-time tracking by applying autonomous flight technology, obstacle avoidance technique, and object tracking technology. In addition, wireless communication between the object and the drone was applied to prevent flight deviation. And, it is designed to link emergency notification service through real-time video transmission during flight.
Keywords: Safety Prevention System, Real-Time Safety, Drone, Obstacle Avoidance, Object Tracking, Object Recognition.
Scope of the Article: Pattern Recognition