Security has become an essential aspect of everyday life in India. One of the ways in which we can provide security is by enabling people with vital information on the security aspects for the route they would take during a travel from one place to another. This creates vigilance in traveller and precautionary measures could be taken to prevent any mishap.
In this problem, we are envisioning an application that will suspect any possible security lapse in a location enroute to a destination. A user would use a map which will display all possible areas of red-alert for security from the source to destination.
Given a route map (like google maps) , the security based profiling of various geographical routes traversed could be highlighted as red/yellow/green indicating high, medium and low risks zones. One would be vigilant while travelling through the high risk zones in the map. The profiling could be done based on history of crimes in the area, presence of people, security guards , presence of surveillance cameras, number of vehicles in the area at the given time. Machine learning could be used to learn the features that contribute to the security of a location.
Input would be a data set containing records of crimes in an area along with statistics like number of surveillance cameras, current traffic conditions etc.
A map with red, yellow and green patches indicating high, medium and low risk areas given a source to destination path.
In today’s world, the usage of IOT devices in day to day life has increased exponentially. Even though the carbon footprint by a single IOT device is negligible, in a public system where there are millions of sensors/radio devices deployed, this creates a considerable carbon footprint in the neighborhood. With huge amount of sensors installed and sending traffic every millisecond, it becomes important to create a smart and dynamic system that will reduce the amount of carbon footprint by utilizing the characteristics of the devices.
To optimize the carbon footprint of the IOT devices, we need to come up with an innovative solution to dynamically power on and off the devices without compromising on their functionality. For example, let us assume there exists a system to determine the pollution of a city and thousands of sensors are attached to it. We need to find a method to identify the devices to be turned on or off, reducing the cumulative carbon footprint of the devices fulfilling the functionality i.e. Measurement of pollution level in all locations at a given time.
Input: a data set containing latitude-longitude at which sensors are deployed, sensor proximity, carbon-footprint, network topology and other required information Output: a system to determine when and which sensors to be powered on/off dynamically and the total reduction in carbon footprint obtained.
One of the important aspects of day –to-day life is transportation and there is a huge surge in the number of accidents every year due to improper maintenance or negligence of the vehicle conditions. Human errors during inspections is another major concern. Hence to improve the quality of testing of vehicles , we need to come up with a solution that could detect anomalies in vehicles due to operational negligence.Operational maintenance today are being done based on visual human inspections and manual devices which are prone to errors. We require an Augmented Reality(AR) based application that could improve the quality of testing in vehicles thereby not overlooking the minor displacements.
With the usage of AR applications, one should be able to identify and recognize any damage to physical parts of a vehicle which would enable a personnel to perform operational maintenance. Image recognition could be used to distinguish between damaged parts with respect the initial state.
Input would be a data set containing labelled images of damaged parts in vehicle and new vehicles of the similar make.
AR to identify the defective vehicle parts given an image of a vehicle.
Problem Statement Type
1st November , 2018
1st November , 2018
Your Application is not approved. Please contact to Admin .
Problem statements from Organizations/ MinistriesStudents Innovation
Select Registration Type
Problem Statement Creater College Faculty SPOC Students Team Leader