Projects

Pollution has become a major issue recently in both urban and rural areas. The available pollution monitoring devices follows crowdsensing. These data may not be accurate as it depends on the population. So to get accurate values of pollutants in a specific area, an autonomous system has been developed by a team of three students form Second year Aeronautical Engineering of 2017 batch. The autonomous system is capable of collecting data on any predefined location or path. The suggested system is a multi rotor unmanned aerial vehicle carrying few off the shelf sensors calibrated to measure particular pollutants. The collected data will be stored and can be retrieved on landing. The data will give accurate readings on latitude, longitude, and altitude along with pollutants. level. This will assist in instant action in controlling pollution in a particular area

Project Vihayu is an in-house project for the development of a drone capable of carrying a payload of around 600 grams. It was developed as a product delivery drone. The team includes four final year students of 2015-19 batch and guided by a faculty from the Department of Aeronautical Engineering. The drone was first revealed to the students on March 7, 2018 at Trefraketen’18, a national Level Technical Symposium by delivering the Magazine to the Chief guest during the inaugural function. Ten the drone was again used by the department of physical education to deliver annual report to the chief guest on Sports day. Both the fight were held indoor and the drone dynamics are good

Forest fire has a huge impact on the environment. It causes deforestation, soil heating, vegetative response etc. Detection of forest fire at earlier stages will help in saving numerous trees and wild life. But involving a human beings in continuous monitoring will put human lives in danger. So an autonomous drone has been developed to detect and extinguish the forest fire by dropping CO2 balls. A 450 mm size quad copter has been fitted with sensors to detect fire by patrolling in a predefined path using GPS. The drone is made to be autonomous in detecting and extinguishing

The proposed drone is enabled with AI technology, with a FPV camera, GPS and sensors for facial recognition, objection identification and path detection. A conceptual approach is taken to using a Black-box logging device to store relevant data collected from the sensors. In case of the drone being lost behind enemy lines, loss of signal or gets shot down, the data from the black box is transferred to the ground station and the box self-destructs / undergoes a clean wipe. In case of a drone crash, the black box can be manually retrieved, by locating it with tracker beacons, like the ones used in an aircraft black box. Tis technology can be further enhanced to include a swarm of drones that can collect large amounts of data and communicate with nearby drones to transfer the relevant collected data. The drone would find application in civil and agricultural surveys, especially the black box tech for military purposes. It also serves as a good research & development tool, as real time data can be collected during fight and later analysed to further improve the drone performance.