|With PRM Fincon Team at The Terminus, New Town yesterday (28 April 2018)|
Basically, they use AI to analyse risk profile of companies and thus advise investors to invest wisely. In addition, they use AI together with IoT to predict possible failures in heavy industrial machines so that timely corrections can be taken and thus reduce idle time (upto 30%, they said, in respect of a use case in an Australian coal mine). They use recurrent neural networks with back propagation and LSTM (Long Short Term Memory).
I also found that they are working on video analytics and their laboratory level prototype is already able to use AI (based on Python code) to analyse CCTV feeds to flag if vehicles were crossing lanes and if a two-wheeler rider is wearing a helmet or not and whether it is a soft cap or a proper hard helmet. I thought this would be a great case to improve the road safety in accordance with Hon'ble CM's "Safe Drive, Save Life" campaign and I asked Mr Mukherjee to see if this could be developed further and used in New Town's CCTVs in a pilot use case.
I also invited Mr Pritwiraj Mukherjee to talk very briefly about the coal drilling machine use case on the 18th Workshop.