Pedestrian flow counter using image processing

Madhira, Kartik; Shukla, Aditya

doi:10.1109/icecds.2017.8389782

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…Kartik Madhira and Aditya Shukla [5] have proposed a method that uses image processing techniques to count human specific areas such as ATMs, retail shops, malls etc. "The people counter solution was made using computer vision library OpenCV for Python computer language".…”

Section: International Journal Of Engineering Research and Technology (mentioning

confidence: 99%

Implementation of Arduino-based Counter System

Krishna¹

2020

IJERT

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Automated counter system is an efficient solution for counting the number of people entering or leaving a room. This paper attempts to provide a unique solution which can automatically count the number of people. It intelligently discovers and counts the number of people with the help of internal code from the Arduino UNO. This has been achieved by using an Infrared sensor, piezoelectric sensors and the development board Arduino UNO. Two Infrared sensors are placed at entry and exit of a room. A series of piezoelectric sensors are placed under a mat between the two infrared sensors. The sensors acquire the data and sends to the arduino which maintains the count. The system requires low voltage and minimum maintenance to continue the operation.

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Section: International Journal Of Engineering Research and Technology (mentioning

confidence: 99%

Implementation of Arduino-based Counter System

Krishna¹

2020

IJERT

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“…The system used a camera to capture the pedestrian images which were then processed by using minicomputers. A sensor camera was installed with several tilt angle positions to detect the pedestrians [6]. A FPGA-based traffic lights controller was examined by Kishore.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Crossing Safety System at Traffic Lights based on Decision Tree Algorithm

Hardiyanto¹,

Iswanto²,

Sartika³

et al. 2019

IJACSA

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Pedestrians are one of the street users who have the right to get priority on security. Highway users such as vehicle drivers sometimes violate the traffic lights that is endanger pedestrians and make pedestrians feel insecure when crossing the street. Based on this problem, a tool is designed to provide a warning for the drivers or riders violating the traffic lights and prevent traffic accident by spraying water. The system is able to detect traffic violation based on changes in the value of the vehicle position on the stop line obtained from the Ultrasonic HC-SR04 sensor. When a violation is detected, a decision tree algorithm turns on the pump to spray water to the traffic violators as a deterrent effect. The results show that the vehicle located closest to the sensor has 94% precision, 88% recall and 85% accuracy, the vehicle located in the middle has 73% precision, 100% recall, and 75% accuracy, and the vehicle located furthest to the sensor has 75% precision, 100% recall and 80% accuracy.

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