Using a camera monitoring the road, the prototype was built using a raspberry to monitor the density of the road and thereby dynamically time the signals. This will ease the overhead and also make the signals smarter.

• Dynamic Traffic Management
• Traffic Management for managing other resources

Vehicle accident is the paramount thread for the people’s life which causes a serious wound or even dead. The automotive companies have made lots of progress in alleviating this thread, but still the probability of detrimental effect due to an accident is not reduced. As the usage of vehicles is increasing drastically, the probability of getting injured due to vehicles is also increased. The main cause for accidents is high speed, drunk driving, inattentiveness, stress and distraction due to electronic gadgets. This can majorly attributed to carelessness of the driver.

Automatic Accident Detection and Rescue System is a hardware solution for vehicles that triggers a message upon an accident and contacts medical emergencies. This solution drastically reduces the response time by automatically triggering the emergency teams to the location. The team has achieved this through a custom hardware and software approach.

The team uses sensors on the car that identify that you have met with an accident. Once the device is certain about the casuality, it then uses the onboard location tracking modules to find the location of the accident and send an alert to the server using the GPRS module on the device. This data is then sent to the ambulances nearby automatically, which respond immediately. 

The team uses an arduino and GPS and GPRS Modules with arduino to send the crash data from the location to the server.

Arduino is an open-source electronics platform based on easy-to-use hardware and software. Arduino boards are able to read inputs – light on a sensor, a finger on a button, or a Twitter message – and turn it into an output – activating a motor, turning on an LED, publishing something online. You can tell your board what to do by sending a set of instructions to the microcontroller on the board.

Global Positioning System (GPS) is a satellite-based system that uses satellites and ground stations to measure and compute its position on Earth. GPS is also known as Navigation System with Time and Ranging (NAVSTAR) GPS. GPS receiver needs to receive data from at least 4 satellites for accuracy purpose. GPS receiver does not transmit any information to the satellites.

For most people. signt and vision are the most significant and important ways of receiving and understanding information. Dealing with sight loss or low vision is a challenge in iteself and due to urbanisation of cities and the complications that come with it, the effort it takes for a differently abled in such environments is enormous. 

Dispite the extensive innovation and development of technology, it has not reached everyone in the same way. From time to time, we see and hear about projects that make the world more accessible for people who are blind or visually impaired. Here at devthon, one of our teams plans to do the same.

Due to urbanisation, we go from one environement to another all day long. From office to homes; banks to supermarket; parks to gyms; hospitals to medical stores, If one observes, most of these are not designed to be accessed by the visually impaired. 

Due to the structural difficulties that a blind person has to face, navigation and accessibility in physical situations is one of the main challenges faced. So, the team has come up with a smart aid. This is a Navigation system for visually disabled using voice based instructions and open maps. The team uses RFID technology and their own platform to help disabled people navigate public spaces by triangulating their location and guiding them.

RFID is an acronym for “radio-frequency identification” and refers to a technology whereby digital data encoded in RFID tags or smart labels (defined below) are captured by a reader via radio waves. RFID is similar to barcoding in that data from a tag or label are captured by a device that stores the data in a database. RFID, however, has several advantages over systems that use barcode asset tracking software. The most notable is that RFID tag data can be read outside the line-of-sight, whereas barcodes must be aligned with an optical scanner.

RFID belongs to a group of technologies referred to as Automatic Identification and Data Capture (AIDC). AIDC methods automatically identify objects, collect data about them, and enter those data directly into computer systems with little or no human intervention. RFID methods utilize radio waves to accomplish this. At a simple level, RFID systems consist of three components: an RFID tag or smart label, an RFID reader, and an antenna. RFID tags contain an integrated circuit and an antenna, which are used to transmit data to the RFID reader (also called an interrogator). The reader then converts the radio waves to a more usable form of data. Information collected from the tags is then transferred through a communications interface to a host computer system, where the data can be stored in a database and analyzed at a later time.

• Personal navigation for visually disabled
• Wireless Pedestrian navigation system
• Remote mobility for disabled

Smart Bins that decrease the amount of carbon footprint throughout the city.

The team built smart public garbage bins, equipped with RFID to identify the interval at which they are attended which would send out information to servers whenever there is an overflow and in turn, alert garbage collection teams. It would also have a compactor, to compress the waste and increase the capacity of garbage bins by 10 times. 

The 3 people team from ilabs helps officials prioritize the bins and help for a faster and more efficient waste disposal from public roads also coded an algorithm which would help garbage collection vans take the shortest route and cover a maximum number of garbage bins on the way, thus, saving time and fuel.

Based on the MNREGA works done in a district since the inception of the scheme, can we find outliers in terms of wage/material expenditure, works done etc?

Team NREGA had two prototypes to showcase. The first one was a decision tree that would be used to understand if all the criteria were being met and thereby understanding whether the final goals of the NREGA scheme were being achieved. So all the data would be checked using the 4 rules that were part of the decision tree and easily be able to analyze if the scheme was being effective or not.

Also the team created a visualization to show the comparison between wages and materials. With the help of the visualization, they were able to clearly show the number of villages that showed a deviation from the average. They were able to find more than 300 villages that had spent more on the materials than the wages, thereby defeating the whole purpose of the scheme. These visualizations could be used to analyze the way villages were using their NREGA funds and easily spot the places where they were being misused.

• What is open data?
• Open Data: What Is It and Why Should You Care?
• Why open Data?

Please Find the outcomes of the project here

Based on closing balance reports and key register reports of FPS, can we throw light on the FPS that may be diverting food grain meant for the poor and Identification of leakages in the Public Distribution System

The main problem that the team focused on was the identification of leakages in the Public Distribution System. For achieving this goal, they created visualizations that showed the deviations in the behaviour of ration shop owners who showed huge variations of leftover food grains in the shop across months. By using this visualization, the supply variations across shops can easily be spotted. Also, the correlation between Supply and Number of Ration Food Cards can be seen. This can be used by officials to find fraudulent practices and investigate these shops wherever required.

• Supply variations across shops
• Find the correlation between Supply and Number of Ration Food Cards.
• Variations of Leftover food grains in the shop across months
• Identifying the GPS location of the shops in the region. ( as per the data provided)
• Rules for identifying the shops which possibility of fraud occurrence is present.
• Reporting system for needy to report whether the shop is Open / Close

• What is open data?
• Open Data: What Is It and Why Should You Care?
• Why open Data?

Please find the outcomes of the project here

Based on grievance data from GHMC for the last one year (Apr 2015 to March 2016), can we find out the most common grievances, officials who are loaded with work, areas from where maximum grievances are coming from etc?

The team worked to visualize the complaints that the GHMC has received in the last year. It could show which were the areas that registered the most number of complaints and also the types of works that were requested the most number of times.

They were also able to build a demo for an App that would be able to visualize the status of complaints in a particular region. This would be a handy tool for all decision makers who were part of the GHMC. They could easily monitor if the efforts they were putting in were showing positive results and make changes accordingly.

• What is open data?
• Open Data: What Is It and Why Should You Care?
• Why open Data?

Pahani is a form of Land Record that depicts Rural Land Ownership. Taking the Pahani provided to us as a Primary Data Source we created data sets to address the problem statements.

Based on the Village level Pahani on the Maa Bhoomi portal, can we build a dashboard for micro level planning at a village level on land holding size, type of land. water sources etc?

The first team to present was the team that were using the data from the Village Pahani records. They created a dashboard that could show, compare and calculate the data from the Village Pahani records. It could calculate the average land holding per person in a village, highest/lowest land holdings, type of land, water resource and barren/cultivable land in a village. This dashboard could be used by the common man and also an official like the district collector to measure the rural development metrics and find insights.

• Average land Holding Per Person Per Village
  

  From the given raw data we computed the average land holding per person per village.As per our analysis we found that: 0.0025 Acres from a total of 1649 Acres in the village

• Highest & Lowest Land Holdings Per Village
• Type Of Land
• Water Source
• Barren Vs Cultivable Land In A Village

• What is open data?
• Open Data: What Is It and Why Should You Care?
• Why open Data?

Please find the outcomes of the project here and here