Theme A. Road humps and pothole detection

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1 Theme A Road humps and pothole detection Knowledge on the road condition could be a useful information for driver safety applications. Especially in developing geographies the road conditions may not be very driver friendly. Identifying the road humps and potholes may help in better decision making by drivers. Vision sensors could help in achieving this. Sensor : Vision (single colour camera) 1. Identify the road humps with and without zebra crossings on the hump 2. Detect the potholes on the road in the drive way 3. The detection should happen before the vehicle reaches 10 mts from the hump / pothole

2 Theme B Gathering Head count in an Emergency In today s world we have multistoried buildings/apartments, stadiums, tech parks, malls where many people visit daily. But there is minimal or none precise automated mechanism to count the number of people inside a premises in case of an emergency situation. Develop a way to count number of people inside a premises at any point of time. In case of an emergency it should suggest the location of person in danger inside the premises and if possible recognize them and send the alerts to central server or emergency stations.

3 Theme C Intelligent Energy Management Solutions for Buildings Energy savings in Buildings is need of the hour. There is immense potential to do the same using Software and Data models / Analytics like Intelligent decision support system using real time data, Energy retrofits, Demand Response solutions, Analytical tools which can identify opportunities to save energy. Define ONE use case providing all details of scope required to understand the Solution. Consider appropriate data sources (sensors), attributes, sample / real data etc. The solution should have good Techno economic feasibility. Also, provide a sample workout. The use case shall enable savings through Reducing Operations Cost or Improving Productivity or Improving Reliability

4 Theme D Connected machines in IoT A future where everything is connected and everyday items have the built-in intelligence connected to talk to each other over internet. Computer chips in cars, buildings and everyday items such as clothes, accessories, watches and fridges are creating a world where objects can talk to one another digitally. This is the internet of things, the internet of everything, where billions of devices can hook up. Select common or oblivious daily life devices (few listed below) which affects every human being, apply M2M connectivity concept and demonstrate the benefits to the end-user. Vehicles on the road Appliances and gadgets at home Equipment and devices in a hospital

5 Theme E Virtual / Augmented Reality for Connected Devices Virtual reality for consumer devices and Gaming is a trend and majority of Hi-tech companies are focusing on that. Virtual Reality and Augmented Reality is the Technology that blends digital images with the real world through devices (e.g.; phone s camera) and gives a full-scale view of the place in the environment and that sense of feel. This finds deployments in gaming, remote diagnostics & analytics. Select common or oblivious daily life devices which affects every human being, apply virtual/augmented reality concept and demonstrate the benefits to the end-user. HD streaming of virtual data to mobile phones from PCs Analytics & Image Processing Companion Device applications for sense of feel

6 Theme F EDGE Processing/Analytics solution Current IoT applications used in industrial applications experience performance instability. Industrial solutions need to be highly responsive to dynamic conditions. Current solutions provide analysis and corrective action via the platform Layer, which causes response latency. The data that is received from sensors also needs to be compressed and optimized Application architected in Edge layer * Expected Features Data Compression: Provide data compression for optimized data traffic Data Store and Forward: Buffer & forward using onboard memory or open source historians. In memory processing: Control industrial equipment's such as drives, valves at Edge level. Analysis: Data analysis for equipment Problem statement Create a solution which is a combination of hardware and software which is architected on the Edge Layer as referenced in the diagram above. The solution should provide expected features as listed above. Any manufacturing process or equipment can be considered as a use case for this solution. * Architecture Reference : 6