A.T.O.M’s Day Out in HACK-BVICAM 2022

 

 

On 11th March 2022, our A.T.O.M society participated in HACK-BVICAM distributed in 3 teams led by 3 of our admins Naman Malik, Jasmeet Singh and Manav Sethi. The competition had 5 positions on the podium, out of which our teamsbagged 3 positions! The teams won a total of 15k cash prize, 3 smart phones & many goodies leading to a total prize pool of 50k!

 

 The hackathon had many tech related themes like AI/ML, Future Mobility, IOT, FinTech etc. Out of these tracks our teams developed real world projects related to Future Mobility, IOT & Smart City tracks.

The team which bagged the first position led by Naman Malik, developed a hardware-based project for monitoring working conditions of workers in hazardous conditions like coal mines. The project consisted of a smart wearable device, which could be attached to the belt buckle of the worker, like a holster. This piece of hardware contained a plethora of sensors like accelerometer, smoke sensor, humidity sensor and temperature sensor. Long range Radio-Frequency modules were used to transfer this data to a central hub with internet connectivity. This data was then visualised on a Grafana Dashboard, where an admin could monitor sensory data for each worker. All the sensors could be used to detect emergency conditions like fall detection, gas leak etc.

The team which bagged the second position led by Manav Sethi, developed a  hardware-based project for a holistic traffic management system. The project had multiple IR sensors embedded on the road to determine the density of traffic waiting on a particular signal and accordingly control the traffic lights. Apart from this the red-light sensors also had a RFID receiver which detected a passing emergency vehicle such as an ambulance and appropriately changed the traffic lights. 

The third team led by Jasmeet Singh, received the runner's up position. Their project was based on making a smart parking system that allows you to book parking spots in public spaces just like you book seats for a movie show. The project used Computer Vision on live video stream from CCTV cameras using OpenCV to detect empty parking spots and accordingly update a Django based web interface. The web interface allowed the user to book a spot which was then blocked by a barrier in real time. All this was demonstrated to the judges using the Gazebo Simulator and ROS (Robot Operating System).

All in all, the hackathon was a great learning and bonding experience for the whole society. We met & interacted with many people with different backgrounds and ideas. It was great to attend an offline event after a long period of isolation due to the COVID19 pandemic!