SFL: smart footbridge lighting system based on human detection technology

Name: Pakorn Sriwattanakosol

Organization : Bangkok University. School of Engineering

Name: Weerawit Sapmongkolporn

Organization : Bangkok University. School of Engineering

Name: Manatsirin Nuchparsert

Organization : Bangkok University. School of Engineering

Name: Settanun Chantasart

Organization : Bangkok University. School of Engineering

Name: Poramaporn Ruamjinda

Organization : Bangkok University. School of Engineering

Name: Chakkaphong Suthaputchakun

Organization : Bangkok University. School of Engineering

Email : chakkaphong.s@bu.ac.th

LCSH: Solar energy

LCSH: Raspberry Pi (Computer)

LCSH: Lighting -- Automatic control

Abstract: Thailand is ranked as the 81st in the world and the 7th in South-Eastern Asia with a high crime index. More than 60% of such crimes happened in night time. Therefore, lighting systems in isolated public areas, such as footbridges, become crucial and must be taken into account as one of approaches to prevent crimes This paper aims to develop a Smart Footbridge Lighting System based on Human Detection Technology called SFL. SFL system is developed based on machine learning concepts (ML) through OpenCV to detect only human faces by excluding any animals, such as dogs, cats or birds, and provide safety light to people accordingly. A solar cell system is also implemented in SFL system to provide environmental-friendly energy system, energy saving system, and energy backup system in case of power outage. The performance evaluation results show that SFL can achieve 100% accuracy in human detection during the day time. During the night time when the crime is high, SFL achieves up to 96% accuracy in human detection and safety light providing. Consequently, the development of SFL could be one of the promising solutions to reduce the crime index in Thailand, while rarely make an impact on environment by using clean solar energy

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2021

Modified: 2565-12-08

Issued: 2022-12-08

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BibliograpyCitation : ใน มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, สมาคมวิชาการทางวิศวกรรมไฟฟ้า (ประเทศไทย), กลุ่มโฟโตนิกส์ไทย และ IEEE Power and Energy Society. การประชุมวิชาการทางวิศวกรรมไฟฟ้า ครั้งที่ 44 (EECON-44) (pp.720-723). น่าน : มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร

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