Tech start-up Aspiricx is transforming swimming with its ground breaking “Aspire Analytics”, which is a full dimensional model to two product lines – Lane Vision and Stroke Vision – to enhance competitors performance in the sport of swimming.
The story about the beginning of this tech-based skill enhancement analytic is as interesting as the product can prove to be for the swimmers who aspire to embrace glory at the pinnacle of competitive sport.
The CEO and Chief Architect of Aspiricx, Indian-origin American Kannan Dorairaj, a successful entrepreneur with experience in AI, IoT, data and the solar industry, took up the project because of his 11-year-old swimmer son Amit.
When Amit began swimming, Dorairaj wanted to learn the sport, too. He trained to become a stroke and turn judge, sitting for endless hours at the end of a pool lane in meets. When Dorairaj exited his startup, infiswift, last summer. He wanted to undertake a project with his son, states a report by Sporttechie.com.
“After so many years of working, I had time,” says Dorairaj. “I was thinking, ‘What can I teach my son?’” And there came the idea when son Amit asked father to not to compare him with anybody.
Then came on-board Natalie Coughlin, retired US swimmer with 12 Olympic medals to her credit. Who also happened to be wife of Amit’s swimming coach Ethan Hall. The coach also now works for the company, and USA Swimming national team high performance manager Russell Mark sits on the board of advisers. The company has grown to five employees and 12 engineering contractors.
The primary challenge of this startup is setting up the computer vision to work through the water. Dorairaj said his prior work in the solar industry helped him understand light rays, and his solution for the problem posed by water is now Aspiricx’s core intellectual property.
Swimmers’ varying body types make uniformity of technique impractical, and this understanding is the underpinning of Aspiricx.
Aspiricx’s first product, LaneVision, scheduled for an early release, can generate such metrics as lap splits, average stroke rate, average distance per stroke cycle, underwater velocity, breakout distance and more. Combined with a web portal hosted atideali.me — the premise is “to create a model for your ideal swimming stroke,” Coughlin said — LaneVision will use artificial intelligence to suggest biomechanical analysis.
The second launch, StrokeVision, will be available soon and require advanced camera equipment for a 3D scan and offer more extensive input about stroke improvements.
“Everyone’s body, everyone’s body type is completely different so the swimming stroke that works for me may not work for the next person. What we’re going to do is figure out a way to really personalize swimming strokes,” says Nathalie. “If you don’t have a coach, it can be very intimidating, so what we’re hoping to develop is something that, you could come to us and we could help you visualize your ideal version of your swimming.”
Nathalie’s input has been the creative side on the requirements of the different segments and age groups of swimmers.