DEVELOPMENT STREET POTENTIAL ASSESSMENT SYSTEM USING LOW-COST SENSOR AND DIGITAL CAMERA

Abstract

 Municipality budgets cannot cover all the necessary public works for environmental problems. Under the limited budget, it is important to reasonably prioritize environmental public projects according to the number of beneficiaries and the extent of environmental impacts. We define ‘street potential’ as comprehensive street’s attractiveness considering the existing environmental problems and citizens’ utilization in each street. Here we aimed to development the assessment system of street potential which consists of a low cost aerosol sensor, digital camera, and objects detection algorhithm YOLOv3 for measuring the concentration of air contaminant and the number of pedestrians. The performance of the proposed system was validated with a conventional aerosol monitor for air pollutant level and visual inspections of the pedestrians. The aerosol sencer tended to overestimate the number concentration. Automatic extraction with YOLOv3 is performed accurately and as effective as visual inspection. We conducted mobile observation with this system and confirm that it can measure the concentration of the air contaminant and the number of citizens in each street at the same time.