Organization : PEC University of Technology, Chandigarh
Competition Name : FlyTron UAV Poster Presentation 2017
Event Date : 25th February, 2017
Website : http://www.flytronpec.in/poster/index.html
FlyTron :
FlyTron is a platform from where Unmanned Aerial Vehicle enthusiasts can show-off their UAV designing skills; where they can compete among the best of the country in this field; where UAV industries and academic institutes come together to realize their vision in the field of Unmanned Aerial Systems.
Related : NCPCR Poster Competition 2017 : www.contest.net.in/20344.html
FlyTron is designed to promote interests in Unmanned Aerial Systems (UAS), and to engage students in challenging UAS missions. The contest will provide a real-world aircraft design experience for engineering students by giving them the opportunity to apply their class room knowledge.
Student teams shall design, fabricate, and demonstrate the flight capabilities of their unmanned, electric powered, radio controlled aircraft (with autonomous flight capability) which can best meet the specified mission requirements.
Rules & Guidelines:
** Theme of the poster presentation is UAV design.
** Individuals may present their conceptual futuristic design of UAV in this event
** Participants will be provided space to display their posters
** Registration fee 500/- INR
** A3 size should be preferred
** Events will be held on 25th February, 2017
** Poster will be judged on 25.02.2017
Best posters will be selected and awarded on the basic of:
** Originality of idea
** Creativity of design
** Feasibility of design
** Best posters will be awarded certificate and monetary prizes as follows;
Best poster : Certificate and prize worth 15,000 INR
Second Best poster : Certificate and prize worth 10,000 INR
Third best poster : Certificate and prize worth 5,000 INR
** Certificates will be awarded to all participating individuals.
** In case participants are more than one, exception can be made on prior intimation to increase the team size.
Overview of the Competition :
PEC University of Technology presents Flytron, an opportunity for all flying enthusiasts to be a part of the nationally acclaimed Unmanned Aerial Systems Challenge. The purpose of the competition is to develop Indian intellectual and technical expertise in unmanned systems technology.
Whether it be a hostage situation or a typical case of traffic management, Flytron expects to develop an Indian experience and knowledge base towards Unmanned aerial systems technology.
As a method to provide typical applicability of this technology, we envisage a scenario where hostages are held up by terrorists with the Indian Army launching operations to successfully retrieve all hostages while at the same time eliminating terrorists with negligible collateral damage.
Since it is technically difficult for the army to predict the location and exact number of terrorists beforehand, the mission involves the deployment of autonomous UAVs to achieve the aforementioned tasks.
The UAV shall be required to take off from a predetermined position and enter a simulated combat zone which consists of innocent civilians and heavily armed terrorists. It will then be required to calculate the number of people within the hostile area with the ability to distinguish between terrorists and civilians.
Hence, the UAV shall contribute towards providing real time actionable intelligence relating to the total number of terrorists operating within the hostile area. Additionally, while en route to the combat zone, the UAV shall identify information left by the armed forces moving inside the base and provide it to the army headquarters.
This information maybe in the form of symbols left by the soldiers moving inside the combat zone. Further, the UAV shall be required to drop payload and provide necessary ammunition or material to the armed forces operating inside the combat area.
The army headquarters intends to launch a surgical strike based on the information provided by UAV, hence accurate identification is critical. At the same time, civilians and terrorists tend to move and relocate, hence the UAV is expected to complete the operation within a satisfactory time period.
This post was last modified on June 28, 2021 1:52 PM