AMS students won Smart India Hackathon 2018
- Students developed a new system that can help in the inspection of railway tracks automatically with time and effort
- More than 100,000 students divided into 12,000 teams participated in the world’s biggest hackathon organized by the Indian Govt, and only the top 5% teams were selected for the grand finale
- Team Emblaze”, students of EEE department, Aalim Muhammed Salegh College of Engineering won this prestigious award
Chennai, 30th June 2018:Technology solutions developed by the Electrical and Electronics Engineering students of Aalim Muhammed Salegh College of Engineeringin response to the challenges posed have won top award at Grand Finale of Smart India Hackathon (SIH) 2018 organized by the Govt. of India. The Smart Solar rail track fault detection systembagged the First Runner upaward and cash prize of Rs. 75,000 in the Hardware Edition for the theme Import Substitution.
In a felicitation ceremony, the Team “Emblaze” of EEE department, K NaushadSaheb, K Ameerudeen, A. Mohammed Ebrahim, A.H. Muhammed Salman, S. KousariThabassum and R.M. Sumana who won the First Runner Up award were commendedby the Chief Guest, Alhaj S. Segu Jamaludeen, Secretary&Correspondent, Aalim Muhammed Salegh Group of Institutions.
The annual event, considered the largest hackathon in the world lasting a gruelling 36 hours, allows various departments of central and state governments to engage with over one lakh technical students from different universities across India, and challenge them to build digital solutions to improve their efficiency and plug revenue leakages.
SaidAlhij s.segujamaludeen secretary& correspondent Aalim Muhammed Salegh Group of Institutions: “I am really proud of our students’ achievements at the national stage. We believe in unleashing students potential in successfully achieving and encourage them to pursue their passion. The winners have sent a strong message to everyone that they will take our college and the country to greater heights”
Smart solar rail track fault detection system
Inspection of railway tracks is done manually, which is an exhaustive and expensive in terms of time and effort. New system can help in the inspection of railway tracks automatically with minimal human intervention. The core requirement is to eliminate the use of multiple sensors to detect the faults in the tracks by introducing a compact e- vehicle which can run on the railway tracks with fewer sensors and video camera to detect the faults, and GPS system predicts the exact location of the fault and alert the maintenance team. The device also records the data for future use.
