The problem Pythakon Railway Level Accident Prevention System solves

Rail Accidents Addressing threat with IOT

• One of the current big problems is rail accidents. Despite safety precautions, at least one significant mishap is reported annually. The purpose of this project is to demonstrate a useful module made up of sensors and microsystems that are used to find errors that result in accidents. The various modules used to classify accident causes include anti-collision, track detection, object identification at level crossing.
• The level crossing users are protected from, or warned of, the approaching train by the activation of devices when it is unsafe for the user to traverse the crossing. In the case of automatic active level crossings, these devices are activated by the approaching train. Manual active level crossings are activated by humans.
• So here, through this project, we give attention to the trespassers about the arrival of the train before a certain distance based on Internet of Things (IoT). The purpose of our project is to ensure the safety of the people to avoid the accidents occurring in the railway tracks/level crossing by using IOT.

Challenges we ran into

• We ran into a number of obstacles when creating the Railway Level Accident Prevention System for this hackathon project. Processing data from sensorswas one of the major problems. Hosting the database and API presented another difficulty because many free hosting websites prohibited access , making it difficult to host the system.
• The data needed to be efficiently processed to extract useful information that can help detect potential hazards and prevent accidents. To overcome this challenge, we integrated visualization tools that can process and analyze the data generated by the sensors, providing valuable insights into the state of the railway system.
• We applied visualisation techniques to overcome the difficulty of processing data from sensors. These technologies were effective in processing and analysing the data produced by the sensors, giving insightful information about the condition of the railway system. These tools had to be integrated, which took a lot of time but ultimately was essential to the project's success.
• We investigated a number of possibilities for hosting the database and API, including paid hosting providers, in order to meet the challenge of hosting the system. In the end, we were able to locate a reliable hosting service that satisfied our requirements and enabled us to deploy the system effectively.