Meet the winners of NIYANTRA 2016
Winner : NIY 13- Path Detector Designed For Visually Challenged
Santhiya Rajan- Sri Eshwar College Of Engineering
Path Detector is a smart cane which enlightens the visullay impaired people to acclimatize their environment which they find it more difficult for navigation by utlizing the traditional white cane.
First Runners-Up : NIY 93- SAPER (A Semi-Autonomous Pipeline Exploration Robot)
Rohit Kashyap - Vivekanand Education Society's Institute of Technology
Rahul Kashyap - K. J. Somaiya College of Engineering
The aim of this project is to propose and design a robot that can help municipalities identify the problems in the existing network of ducts and pipelines before they can lead to disasters like floods, contaminated drinking water, health hazards, etc.
Second Runners-Up : I - Farmer
Ashik M H, Akhil Krishna U, Roche Periyanayagam C - Kumaraguru College of Technology, Coimbatore
A mobile robot to perform automatic seeding and moistening the soil after the seeding at a defined space interval. The moistening system also provides flexibility to configure as a standlaone fertilizer/pesticide spraying system which can be extensively used for climbers and small bush plants
Meet the winners of NIYANTRA 2015
Winner : Vihaan - World's first movable Smart Bin
Ajay Kumar Garg Engineering College, Ghaziabad
The Autonomous movable dustbin travels on a predefined path and is programmed to not only stop when someone approaches it to dump waste but also dump the collected waste at a predefined location when it reaches it capacity. To make it affordable and economic in the long run, a LCD screen has been installed in the front so that it can serve as a moving advertisement platform and thereby help earn money for the inventor/business.
Winner : Scavenger Bot - The Autonomous Street Cleaner
Veermata Jijabai Technological Institute (VJTI), Mumbai
Scavenger Bot cleans up the area provided by google maps. It plans its trajectory in real time and cleans the area avoiding any obstacles present in its way.
Runners-Up : Tennis Tutor
Kumaraguru College of Technology (Autonomous)
A smart ball throwing machine to which a player can never find a sequence of the manner in which he will face the ball. The system has been embedded with features such as Myo and Android App based control to make it even more attractive.
Meet the winners of NIYANTRA 2014
Winner : Rover InDUS (Industrial, Defense & Unmanned Ground system)
Hindustan University, Chennai
InDUS is a rover which is multifunction robot integrated all terrain Drive System, Robotic Arm, GPS Navigation system, Remotely controlled, Data logging , Equipped camera at different position and system is also capable of running through solar power (if surface area of solar panel is increased).
Meet the winners of NIYANTRA 2013
Winner : Autonomous Surface Monitoring Robot
University Institute of Engineering & Technology, Chandigarh
Runners-Up : LabVIEW Based Farm Automation Using Android
Sona College of Technology, Salem
The project proposes a remote controlled robot equipped with a robotic arm and a camera, whose operation will be controlled by an android application (Data Dashboard) or remote Front panel through labVIEW to make easier the task of the farmer by using the various tools of the robot.
NIYANTRA is an opportunity for engineering students to solve challenging real world problems and get rewarded for it.
This contest encourages students to build complete working systems. The competing teams design and build systems for mobile, networked or standalone applications performing various intelligent tasks using NI Tools. Winners walk away with prizes worth 1.25 lakhs and an opportunity to display their work in front of industry professionals at NIDays in October. NIYANTRA also helps students build their ideas through mentorship and free training on NI hardware and software.
NIYANTRA encourages students to use a platform based approach to build their systems using industry standard COTS hardware and software, instead of building a system from scratch. One such platform-based approach is the National Instruments Student Design, enabled by the LabVIEW RIO Architecture.
Watch NIYANTRA - 2016 Video