IoT and ML embedded automatic vehicles indicator and smart lock

Objective:  Bike safety is a crucial aspect of cycling. Cyclists often face challenges while navigating through traffic and other hazardous road conditions. To improve the safety of cyclists, an IoT and ML based bike safety indicator project was developed. The Project aimed to provide cyclists with a safer and more comfortable cycling experience by indicating the surrounding traffic conditions. This project is an innovative and comprehensive solution that provides cyclists with a safer and more comfortable cycling experience. 

Overview: 

Cycling has become a popular mode of transportation, especially in urban areas. However, cycling on busy roads can be dangerous, and cyclists need to take necessary precautions to ensure their safety. To address this issue, an IoT-based bike safety indicator project was developed. The project aimed to provide cyclists with real-time information about their surroundings by indicating the direction in which they intend to turn. The bike safety indicator project uses two indicators mounted on the bicycle, which automatically blink when the cyclist turns the handlebar to the left or right. This project is designed to improve bike safety and provide cyclists with a safer and more comfortable cycling experience.

To improve bike safety, we propose the use of bike safety indicators that incorporate advanced technologies, such as two NodeMCU, one gyroscope sensor, two relay, two red LED connection, and breadboard. The Gyroscope sensor help to detect the bike’s angle, while the relay and Wire connections provide visual alerts to the rider.

The objective of this presentation is to explain the working principle of the bike safety indicator using a gyroscope sensor and NodeMCU. It will cover the components used in the system, the connection and setup process, and how the system works to provide warning signals to the ride.

Improved bike safety:
The project aims to improve bike safety by providing real-time information to the cyclist about their surroundings, indicating the direction in which they intend to turn. This will help in reducing accidents and making cycling a safer mode of transportation.

Convenience: The project offers a convenient solution for cyclists, as the indicators automatically blink when the cyclist turns the handlebar to the left or right, eliminating the need for manual operation.Cost-effectiveness: The project is developed using open-source hardware and software, making it cost-effective and accessible for a larger community of cyclists.

Potential for scalability: 
The bike safety indicator IoT project can be implemented on a larger scale to improve bike safety across cities and countries.