Abstract
Modern technology has opened the way for superstructure buildings and houses, thus enlarging the chance of losing life during supernatural events and human made disasters. As reported by Urban Search and Rescue group, the probability of saving the life of a victim is treating them in the first 48 h of the rescue operation. In the destructed weather environment, sometimes the human beings are struck at various places. In order to identify the human’s certain approach is recommended operating with the help of a robot by using sensor technology. It is proposed to develop the passive infrared sensor (PIR)-based robot to check whether the human being is alive or not using camera. A Bluetooth module is used to operate the robot. The ultrasonic sensor manages the path of the robot making it as autonomous. The group of sensors set up on Raspberry Pi such as ultrasonic sensor and PIR sensor to detect the livelihood of the human being. The video captured by the camera module is processed through machine learning by using HARR cascade algorithm. When the person is detected, the PIR sensor is triggered to check whether the person is alive or not, and then buzzer activates. When the person identified as alive, then the location along with the image is shared through GPS module to the receiver through mail.
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Krishna Rao, E.V., Snehitha, B., Visweswara Rao, J., Mamatha, P., Gowtham Chowdary, M. (2023). Raspberry Pi Alive Human Detection Robot Using PIR Sensor. In: Chakravarthy, V., Bhateja, V., Flores Fuentes, W., Anguera, J., Vasavi, K.P. (eds) Advances in Signal Processing, Embedded Systems and IoT . Lecture Notes in Electrical Engineering, vol 992. Springer, Singapore. https://doi.org/10.1007/978-981-19-8865-3_17
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DOI: https://doi.org/10.1007/978-981-19-8865-3_17
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