Smart City
ULTRASONIC BIRD DETERRING SYSTEM
AP134 »
The majority of birds under migration do so at night, when the atmosphere is cold and quiet, and they frequently find themselves deviating into cities due to their bright light. Birds are naturally drawn to light, according to scientists, therefore when they fly over a bright metropolis with tall structures at night, they are naturally drawn to it, unknowing that they are in perilous territory. This has a significant impact on avian diversity. In order to curb this complication, we opt for an ultrasonic based bird deterrent system using image processing and cloud technology. The Intel FPGA Cyclone controller was employed in our project. The reason for choosing FPGA Cyclone controller because of its low power consumption, high bandwidth performance, and inexpensive cost. Our target users are people who own sky-scrappers and ornithophiles(bird lovers).
Smart City
Word Level Sign Language Detector
AP136 »
Sign language is used by members of deaf community to communicate .Each hand gestures in the language corresponds to a meaning.
In India there are over 5-million deaf people but there are only 250 certified interpreters which is one Interpreter for every 20000 deaf-people .
It is a practically impossible to balance this ratio between Interpreters and Deaf people ,this is where our project comes into action.
We propose "Word Level Sign language Detector " for Indian Sign language by using INCLUDE Dataset which contains 2-3 second videos with the sign mentioned.
This can prove as a Game-Changer for deaf community people to interact with other people.
This detector device can be used in places like Information service centers in railway stations for deaf people to get interact and communicate with people and can get the required information with less effort.This device increases the inclusivity for the deaf people and makes them feel comfortable in public places.
First we are planning to extract key pose features points (body-positions ) and then we feed these videos in to Neural network architecture to find the spatial differences between the frames, with that we think we can build an model to classify the signs to words.
This Word Level Sign language Detector model is finally deployed in FPGA . A camera is connected in FPGA which is placed infront of the signer which captures the real time video of the sign and predicts the respective class of the sign.
Smart City
SMART WASTE MANAGEMENT SYSTEM
AP138 »
The project is based on a waste management system, which helps in maintaining environmental hygiene. Overflowing dustbins has always been a problem to the environment. So for a smart lifestyle, cleanliness is needed, and cleanliness begins with the Garbage Bin. This project will help to eradicate or minimize the garbage disposal problem. This process is effectively carried out with the help of IOT, an advanced technology.
Smart City
Early warning mesh network
EM047 »
Mesh network with early onset warning capability for use in scenarios such as the detection of wild fire, radioactive particles, toxic gasses, commercial, industrial, and event/temporary settings. The network can detect the desired hazardous condition then relay a warning signal to nearby people hence aiding in preventing the loss of human life.