Brilliance in Theoretical and Experimental Research in Communications, Signal Processing, Microelectronics and RF/Photonics. The ECE Department is perceived by UGC as a Center for Advanced Studies and has a rich legacy and a solid notoriety for R and D exercises of globally acclaimed gauges.

Occasions on Open Day

Shrewd Campus

This anticipate proposes to build up an open, incorporated and extensible IoT innovation stack for Smart Management of Campus Utilities. The IoT stack unites crossover detecting, assorted systems administration, Big Data Analytics and science-driven utility administration, and will be accepted through reasonable and clever water asset administration for an economical grounds environment.

The IoT innovation stack will be utilized for Smart Management of Campus Utilities. Specifically, it will be conveyed for practical water administration inside the Indian Institute of Science grounds, which serves as a living research facility for controlled yet sensible approval. The result will prompt lower vitality use through ideal pump operations, enhance water quality through online expectation and location, and decrease the water use through information sharing and national science inside a grounds eco-framework.

SmartWiSeN

A Comprehensive System for Design, Deployment and Monitoring of Internet Enabled Wireless Sensor Networks. SmartWiSe stage accompanies the accompanying programming and equipment segments.

SmartConnect: A system outline and sending instrument which gives a minimal effort remote hand-off system meeting QoS prerequisites.

SmartView: A SNMP based system wellbeing observing instrument which tests the WSN for parameters demonstrative of its wellbeing status.

iWiSe Mote Platform: A low power WSN stage created by CDAC Trivandrum. Go along with us at the Dept of ECE to know more!

Constant Object Detection in Surveillance Videos

Propels in the territory of picture sensor innovation and the portable insurgency have powered an enormous surge in number of versatile/implanted items with high determination picture sensors. We will soon be seeing substantial scale arrangements of Surveillance Cameras to screen our open spaces. For applications including static reconnaissance cameras, the information rates required to hand-off these video encourages from numerous cameras to the servers for unified handling is surpassing the information rates the systems could bolster. For applications including ramble/moving stage based reconnaissance, vitality limitations make direct hand-off of video nourishes in-possible. This makes it basic to plan "Shrewd Camera" frameworks that are wise to recognize and remove out the data of enthusiasm from the caught recordings continuously and simply hand-off that data. We are working towards creating one such "Brilliant Camera" framework. Here we exhibit a framework that does Real-Time Detection of articles, for example, people, autos, cruisers, bikes and so forth.., in observation recordings, utilizing a Convolutional Neural Network running on a Nvidia Titan Black GPU.