1. Technology Demonstration & Training Centre funded by DST Rajasthan for 5 years
DST, India. 1,64,500 INR. 23 March 2018 – Present
1. Workshop on advancement in Computer & Communications: awareness and its use Rs 46500 on Sept 19.
2. Industry Safety measures for workers: Cloud and real time video processing enabled Rs 118000 on Sept 19.
2. Grant for IoT and AI Laboratory
Manipal University Jaipur 20,00,000 INR. 20 April 2017
In January 2017 got a grant to open the new IoT Lab at MUJ for research, development, and startups in a campus environment to drive collaborative innovation and deeper engagement with students and industrial partners from around the world. The lab also serves as a lab for data scientists, engineers, and programmers to build innovative solutions at the intersection of AI and cognitive computing and the IoT. It received lifetime collaboration with Texas instruments, these partners will work together to make our students’ visions a reality and even better yet pose new innovations they haven’t yet imagined. In IoT lab we are equipped with latest devices like oscilloscope, wave generator, DC power supplies along with latest sensors and microcontrollers like Raspberry pi, Arduino, Intel Edison, and various kits from Texas instruments.
3. Energy consumption optimization for Smart Classroom using Computer Vision
IoT Project, Manipal University Jaipur, India
The goals are to reduce the unnecessary energy consumption of a smart home or office or classroom.
- Duration : July 2019 to Dec 2019
- Technology: Computer Vision
- Application: Smart Homes, Smart Lighting Control
- Interface: Smartphone App
- Hardware: Raspberry pi, Camera, Resistor, Breadboard, Relay
Wireless sensor networks (WSNs) are used in this work to implement a smart home control network. The goals are to reduce the unnecessary energy consumption of a smart home or office or classroom. An isolated WSN with one coordinator, which is integrated into Arduino Uno, is established in each room. The coordinator is responsible for transferring environmental parameters obtained by WSNs to the management station. The control messages for home appliances are directly transferred using WSNs. Analysis of the illumination of a fluorescent lamp along with Passive infra red sensor were presented. We used passive infra red sensor that turn light on automatically when person pass by, later turn off after a certain predefined delay for even more energy conserving. The energy saving of lighting systems relative to those without smart control was evaluated.
Results
The energy saving of lighting systems relative to those without smart control was evaluated. Numerical results indicate that the electricity consumption can be reduced by at least 40% under the smart control. Moreover, a prototype for the proposed smart home control network with illumination of light was implemented. Experimental tests demonstrate that the proposed system for smart home control networks is practically feasible and performs well.
Hardware Interface
Application Interface
