“Student Pavilion” in AERO INDIA – 2019

“Student Pavilion” in AERO INDIA – 2019

Students of Electrical Engineering from

Future Institute of Engineering and Management participated in

 “Student Pavilion” in AERO INDIA – 2019 :

Opportunity for students to participate and exhibit for Great Global Exposure and to win awards (20-24th February, Bengaluru).

Aero India is a biennial air show and aviation exhibition held in BengaluruIndia at the Yelahanka Air Force Station. It is organised by the Defence Exhibition OrganisationMinistry of Defence. For the first time, Ministry of Human Resource Development (MHRD) in collaboration of Ministry of Defence and Ministry of Civil Aviation has set up a “Student Pavilion” in Aero India 2019 to showcase the projects of students on aerospace related technologies & product. The theme for “Student Pavilion” is “Application of Aerospace technologies for the Betterment of the Billion lives (AABB)”.

In this esteemed national competition, a group of four students from 3rd year Electrical Engineering Department of Future Institute of Engineering and Management have got the opportunity to present their project in the AERO INDIA 2019 event at Bengaluru. The project was selected among the top 6 projects from all over India.

Project Details

“A small-scale Quadcopter proto for real time activity detection, classification and localization using deepnet and hybrid correlation filtering”

The project presents a Quadcopter for Real-time detection, classification and localization, exhibiting the novel Quadcopter system with software for automatic detection, classification and localization of ground activity. The Quadcopter system will run a robust deep neural algorithm for detection purpose and the activity classification is accomplished by hybrid correlation filter. Moreover the expected system is suitable for both remote analysis of target scene and onboard processing simultaneously. Once developed the intelligent Quadcopter will be able to (a) detect multiple objects (person) in target scene, (b) recognize/classify the object in proper class of activities (c) localize the activity in world coordinate system (d) visual tracking of the object (person) and (d) establishing communication with the remote server by sending the tracked and analyzed scene.

Student Participants

Tiash Ghosh (3rd Year Electrical Engineering)

Amith Achuthanunni (3rd Year Electrical Engineering)

Ratul Kishore Saha (3rd Year Electrical Engineering)

Shomesh Singha (3rd Year Electrical Engineering)