- My project is an IOT model collaborated with AI and Machine Learning.
- It uses micro chip , Sensors(light , motion, sound) , RFID tag & reader ,buzzers and LED lights.
- It uses AI to sense the arrival of the ambulance and changes the signal lights for it and also closes the other signals.
- It senses the ambulance using light sensor , sound sensor and RFID tag
- it also alerts pedestrians crossing the road before opening the signal through motion sensor.(this helps in reducing the Negative impact – accidents )
- this model is specially designed in a such a way that no human intervention is required and it can all be controlled using a single micro chip.
- in future GPS and location services shall also be included with it for better accessibility and faster movement.
- Micro Chip controller – PIC16F1783
- Compiler – XC8 , language = C language
- Pictoblox is used to create a 5min long video demonstrating the working of it – because i did’nt have an extra pair of micro controller and sensors.
RHETS – Rapid Health Emergency Traffic System
Team: RHETS - Rapid Health Emergency Traffic System
This project is the winner of First Runner Up of Codeavour 2020 AI
- Member 1: Samriddhi R Kori
- Age Group: group_3_(14_years_-_17_years_):_participants_falling_in_this_group_must_have_been_born_between_2_october_2003_and_1_october_2007.
- Country: India
- School Name: other
- Partner: not_applicable