The Bengaluru center, with 120 employees, including contract staff, is part of Drishti Technologies which essentially keeps an eye on the factory floor to monitor thousands of workers at a time. The technology also creates an entirely new type of data that is converted into information to help factories increase efficiency or quality.
Drishti’s software uses computer vision to digitize human actions by capturing real-time video footage and then applying deep learning to assign data points to identify different types of manual labor.
Krishnendu Chaudhary, Co-Founder and CTO of Drishti, told STOI, “Basically we install cameras to watch what is happening. They bring videos back to our cloud, which is where our neural networks and the AI engine reside. These analyze videos and do two things: First, they analyze actions of workers on the floor, which allows us to issue warnings when a certain action has been missed. Second, we get statistics about the runtimes, which lead to all kinds of efficiency and bottleneck discoveries. ”
For example, imagine someone who works on brake pads for a car manufacturer forgot to tighten a nut. Drishti’s deep learning and AI tools stop this by issuing an alert that allows the employee to correct their action immediately.
Drishti CEO Gary Jackson said: “… Another use case of our technology could be training. Our customers like Toyota spend a huge percentage of their labor costs on training and retraining. The difference between someone who can do something in a minute and 30 seconds can be that someone has been inadequately trained or that someone has found a new path that is better than the other. In any case, focusing on the training cycle with our type of analysis can be tremendously valuable to customers. ”
Chaudhary explained that use cases also include identifying ways to speed up manufacturing processes or uncovering bottlenecks before stopping production. During the Covid-19, the technology was used to reduce the overcrowding of the lines.
Ramana Tadepalli, India Operations Director, pointed out that the majority of Drishti’s workforce is based in Bengaluru and said that customer privacy and intellectual property protection were seriously considered in the development of the technology.
“Generated data is the customer’s property and we are extremely sensitive to the fact that it is confidential and much of it is assets and intellectual property, and we go to great lengths to ensure that privacy is respected at all levels”, said Tadepalli.
Jackson said the company has raised $ 37.5 million to date, including a $ 25 million Series B funding round led by Sozo Ventures. “Other firms were Andreessen Horowitz, Toyota AI Ventures, Emergence Capital and Alpha Intelligence Capital,” the company said.
In the future, Drishti could also consider anonymizing data and analyzing it in a way that could be useful for industries, specific sectors, Tadepalli added.