Smart City
AUTONOMOUS RAG PICKING BOT FOR GARBAGE MANAGEMENT IN SMART CITIES.
AP080 »
Plastic pollution has become one of the most pressing environmental issues, as rapidly increasing production of disposable plastic products overwhelms the world’s ability to deal with them. Plastic pollution is most visible in developing Asian and African nations, where garbage collection systems are often inefficient or nonexistent. But the developed world, especially in countries with low recycling rates, also has trouble properly collecting discarded plastics. Plastic trash has become so ubiquitous it has prompted efforts to write a global treaty negotiated by the United Nations.
Did you know that every plastic that is being produced in the world still exists today? Half of all plastics ever manufactured have been made in the last 15 years.Millions of animals are killed by plastics every year, from birds to fish to other marine organisms. Nearly 700 species, including endangered ones, are known to have been affected by plastics. Nearly every species of seabird eats plastics.There is no natural process to degrade plastic but we can recycle them.so, we wanted to design our bot to collect and dump them into the trash.
Smart City
Automatic recycling system for residential units
AP034 »
Our team introduces an automatic classification system for wastes.
If garbage is not classified, it can cause environmental problems, and if it is classified well, resources can be saved through recycling.
Our system can classify not only good-conditioned garbage (plastic, cans, bottles, etc.), but also bad-conditioned garbage.
Smart City
Realtime energy monitoring and reporting
AP043 »
This project aims to develop an always-on device that measures raw energy usage at the ingress power line (current, voltage), processing of this realtime data (PF etc.) and transmitting the processed data via WiFi to the internet or locally.
Scope is as below,
FPGA:
- Code that collects and process raw values from ADC.
- Code that interfaces with the ESP32
ESP32:
- Code that interfaces with the cloud
Server backend:
- Code that runs on the cloud that collects data from these ESP32s.
Frontend:
- Simple dashboard that displays current and historical energy usage.
Hardware scope is as bellow:
1. Analog interfacing circuit that interfaces the FPGA to the powerline.
Smart City
Smart Energy Meter
AP059 »
Energy and environmental problems are closely related, since it is nearly impossible to produce, transport, or consume energy without significant environmental impact. The environmental problems directly related to energy production and consumption include air pollution, climate change, water pollution, thermal pollution, and solid waste disposal. The emission of air pollutants from fossil fuel combustion is the major cause of urban air pollution. Burning fossil fuels is also the main contributor to the emission of greenhouse gases.
Wasted energy still means that it was produced. Therefore, we burned a ton of fossil fuels for no reason. That means there were both carbon and methane emissions, for electricity that was never even used. As a nation, we are not the most efficient with our appliances, which has a cumulatively negative effect.
Let’s take lights for example. How often have you left the lights on while heading out for the night? I’m sure plenty of times. We’ve all been guilty of leaving the lights on. The problem is that since it is such a common habit, it easily adds up, contributing to the 66.7 percent of wasted energy.
Wasting electricity creates the ultimate domino effect that can one day leave us with a country with insufficient room for all of its citizens.
To solve this issue and problem, the Authors have proposed the idea of Smart Energy Meters. In idea, Smart means it will be an IoT Edge Device connected with Appliances/Switchboards and monitor the consumption at regular intervals. This device will transfer the data from Edge to the cloud for analysis and generate reports for consumption. On the server-side Author will be developing an ML model which will analyze this data and keep giving suggestions to change old devices, alarms while the waste of energy is detected when no one is using, servicing the appliances, etc., all reports and data are available via application at end user as per their requirements and needs.
Smart City
Waste Management Monitoring System
AP103 »
This project is about a smart bin that can detect whether the bin is full or not. The status of each bin will be informed to the collector so that he can collect the bins which are full according to the sensor data.
Smart City
IoT Pollution Box System with ML Processing
AP109 »
With climate change showing real and measurable effect on our daily lives with increase in extreme natural calamities, planning for a sustainable future has become a nessasity. To solve a problem of this scale, one needs to understand it fully first. To understand the extent of our effect on a climate a easy to use and distribute measuring units will be crucial. We will be tacking this problem.
A end-to-end Pollution Detection system with Machine Learning Predictions will be designed. It will consists of two major part. Client-Side Pollution Box which will be compact and fully integrated with various sensors and modules to detect Air, Water, Light, Noise Pollution Parameters and Server-Side Cloud Processing Center which will use ML based systems to find patterns and correlations between various pollution parameter and how they are affected with weather conditions. The project will provide a easy to replicate system which can be used by concerned authorities in the Metropolitan areas to monitor and curb pollution on a real-time basis.
Pollution Box will contain a Camera, Microphone, Air Quality and Gas Sensor, Water TDS and Turbidity sensor, which will be used to create a Holistic Pollution Parameter which will be used to build a fully contained pollution index.
Camera will be used to scan the night sky and provide a light pollution metric which can be used to further plan the areas street light consumption. Microphone will be used to provide a all-day look at the noise pollution and can issue mental health warning if exceeding the researched paramter. Air Quality and Gas Sensors can be used to provide a accurate Air Quality Index. Whereas resistivity based TDS calculation can identify increase in toxicity and salinty of water on a real-time basis.
Making the Pollution box compact and easy to use will make it easier for the authorities to make a mesh of these IoT enabled boxes that can give a better resolution in detecting the problem areas and solving the issue at a larger scale and thus ensuring the sustainble future.
At the server end the data will be processed and Machine Learning based program will find patterns and correlation between different parameters to further our understanding on the effects of pollution.
Smart City
Dumpyard Gas Monitoring System (DuGaMoS)
AP123 »
Existence of Toxic gases in huge dump yards and landfills has become a major concern in urban pockets. It leads to a lot of health issues, environment pollution and overall ecosystem damage. In order to address this problem we have come up with a solution of identifying or detecting the prevalence of toxic gases in these landfills. We propose to identify poisonous gases like Methane, Hydrogen Sulphide, Carbon Monoxide, Ammonia etc through an array of gas sensors integrated with Intel FPGA as the processor. Our target segment will be huge landfills and dump yards. We prefer to use Intel FPGA due to its parallel processing capabilities, extendable interfaces with several I/O ports, and high performance computing facility even with complex algorithms.
Smart City
Efficient method for automatic detection of door through sobel edge detector using fpga
AP126 »
Image Processing in its general form pertains to the alteration and analysis of pictorial information. The objective of image processing is to visually enhance or statistically evaluate some aspect of an Image not readily apparent in its original form. This processing is used for convenience in order to reduce the complexity faced during the operations performed on an image. Edge detection is one such branch of image processing used to detect the edges of the objects in a picture by calculation the difference in brightness of that edge pixel with its surrounding pixels using gradient method. In this project, Sobel operator is used as a filter for detection of edges of projection of a door without further increasing the already complex process of image processing. This is done using MATLAB, Sobel filter and FPGA.
Smart City
(Panotti's Ears) Real time Voice Analytics Co-processor
AP007 »
Speech recognition models have been used extensively on various platforms to provide ease of use, digital smart assistance, and hands-free control. At the cutting edge of this technology, the use of hidden Markov models is common. To improve the computational efficiency of hidden Markov model-based speech recognition systems, various techniques are used, amongst which the Viterbi beam search algorithm is one of the best. However, for large vocabulary speech recognition models with larger beam widths, the beam search algorithm’s sparse matrix operations create a highly constrictive bottleneck. Traditionally GPUs have been used to accelerate such models but with the algorithm's not so parallel nature, GPUs don’t provide an efficient solution and power constraints of IOT devices completely rule them out for Edge level.In this project, we research and formulate an FPGA based Co-processor (RTL level abstraction) to accelerate sparse matrix operation of the beam search algorithm so it can be used on edge devices to revolutionize how we interact with IOT edge level devices.
Smart City
Model-Predictive-Traffic-Mangement
AP010 »
We are proposing to build a hardware platform that's able to identify individual vehicles in real-time. The device will be connected to a real-time traffic model that's run on the cloud. Then by placing this device at a strategic location in a city, over time, we would be able to build a very accurate predictive traffic model.
Overall, we expect our project (hardware platform together with the back-end cloud-based software) will provide much better tools for city authorities to manage traffic than what's available today.
Smart City
A design for future city
AP018 »
A city with IoT connectivity, autonomous car is a city of the future.
This project will try to accelerate network architecture search algorithm on FPGA which will usually take hours and even days on decent GPU.
Some of the project modules which are currently being worked on :
https://github.com/promach/gdas
https://github.com/promach/DDR
Smart City
Smart traffic light Control system Using FPGA
AP022 »
Now a days, controlling the traffic becomes major issue because of rapid
increase in automobiles and also because of large time delays between
traffic lights.
So, in order to rectify this problem, we will go for density based traffic
control system.