Advancing Railway Track Detection and Safety Using LabVIEW
Keywords:
RFID CARD,WEB CAM, firebass, NGENE, Deep Learning Toolkit, LED, my RIO, GSM, LabVIEW, AR- DUINO UNO, Raspberry Pi CELL TowerAbstract
The main objective of this project is to analyze the crucial situation that occurs in the “Advancing Railway Track Detection and Safety”. Many accidents occur in the railway surveying field cause multiple damage for life and also our properties. This system will consists of hardware components such as RFID Card, PIR sensor, Web Cam, My RIO, ARDUINO NANO. So that this project to implement in two ways to save the train travel. One way is that the system will be designed as here we are going to implement the automation system which will automatically change the track based on the time which we have allotted . When the train was delayed or Any problem Occurs then the person who is going to change the track at the time they need to scan their id card so that data will be saved. Second way is Now a days we can see many people are going near the railway tracks for photo shoots. To ensure such issues we are going to place an Camera module in front of the train engine. So that wherever it detects the person or any animal or anything else using the Deep Learning Toolkit which developed by NGENE Company and then it captures the image and Sends and alert to the near by railway officers using GSM module and also stores the image which has been captured in the Cloud for the permanent data storage.The goal of this initiative is to assist our railway department in enhancing the automatic process. Also create the necessary instruments for a safe travel experience.