Aspiricx: Pushing the Boundaries of AI

The past few years have been monumental owing to the advancements in artificial intelligence. Tech giants like Facebook, Amazon and Google are investing a lot of time and money in creating their own AI labs to produce robots capable of learning almost everything possible. Not only are the tech giants involved, but as early as 2012 the US military funded The DARPA bots Challenge aimed at designing humanoid bots capable of responding to highly dangerous disaster scenarios. These are clear indication on how AI is shaping the future of technology. No other point in history has seen such substantial engagement in the development of artificial intelligence, and the opportunities are limitless.

On a mission to push the boundaries of Artificial Intelligence and Computer Vision and develop a real-world scientific model called ‘Aspire Analyticx’, stands an Artificial Intelligence company named Aspiricx. Aspire Analyticx is a full dimensional scientific model developed with the concept of modeling human potential using AI.

Providing Real-time Analytics for Athletes

Sports analytics have always been about comparing one athlete’s performance against fellow competing athletes be it individual sport or team sport. Aspiricx realizes that an athlete needs to surpass his or her own true potential to make a significant difference. This originated the idea of Aspire Analytics, which enables athletes to achieve their true potential to make them aspire for more. Hence, Aspire Analytics was conceptualized to model 3D objects and analyze the athlete’s performance against their ideal self.

Currently, Aspiricx aspires to provide real-time analytics for athletes by leveraging video and 3D imaging technologies without invasive sensors. Computer vision, AI and machine learning algorithms are used to process visual data in real-time and develop advanced scientific models that are compared against athlete’s actual performance and also solve statistical mysteries in sports analytics.

Aspiricx’s real-time deep learning AI engine called “Vision Bot” is at the core of the “Aspire Analytics” ecosystem. However, Vision Bot grew much bigger than what it was conceived to be and turned out to be a big project on its own. “Over a short span of time, it outgrew its purpose multifold finding application in our Automotive and Healthcare Bionics projects. Owing to its generic implementation as an AI deep-learning engine, we envisage great deal of use for “Vision Bot” in every field of science and technology and more. After the WWW and mobile revolution at the turn of the millennium, AI will be the next great technology revolution and we are sure “Vision Bot” will be one of the mainstream catalysts,” remarked Kannan.

Enhancing the Sport of Swimming with Ground-Breaking Products

A team of world class visionaries, technologists, swimmers, analysts and coaches have transformed Aspire Analyticx into two product lines, LaneVision and StokeVision to enhance the sport of swimming.

LaneVision: LaneVision is conceptualized to solve the statistical mysteries of pool swimming laps, splits, stroke count, velocity and much more by using widely beneficial scientific advances ever made in Augmented Reality (AR) and Computer Vision to get data without any invasive sensors. LaneVision with non-invasive sensors lets the team achieve the never achieved objective of using it in a competitive race environment to get the results that really count.

Strokevision: Strokevision is intellectualized to model swimmers and analyze their swim stroke techniques. AR and Projection of Visual Data provides real-time comparison and feedback. The swimmer is 3D-scanned to get their exact body dimensions and the model is loaded and trained with swim engineering results to get the ‘ideali’. The swimmers’ stroke technique will be compared against their “ideali” scientific model. With science backed analytics, Aspiricx will achieve the never achieved feet of doing this in real-time to redefine the sport.

Success without struggle is no success at all!

They say, “If you can find a way with no obstacles, it probably doesn’t lead anywhere.” And it holds true for Aspiricx as well. There have been several obstacles over the course of setting up Aspiricx’s core aspire analytics concepts. Especially working with the latest advancements such as computer vision and machine learning that are tough to perfect and more time-consuming. Adding on to these are laying out key performance metrics and collecting immense amount of dataset for continual training. The primary challenge is setting up the computer vision to work through the water. Kannan’s 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.

The Driving Force

Kannan Dorairaj, a visionary, thought leader and a serial entrepreneur drives the vision, strategy, & innovation at Aspiricx. He envisioned the whole business model, product visions and the technology forefront. Although an entrepreneur, Kannan has always been an engineer at heart. He makes sure he is at the heart of every single technology decision and details; be it setting up the core architecture or reviewing that last line of code. He has truly driven the technology side of the company with great knowledge and enthusiasm.

When his son, Amit began swimming, Kannan wanted to learn the sport, as well. He trained to become a stroke and turn judge, sitting for endless hours at the end of a pool lane in meets. Kannan found time for his interest in swimming & he wanted to undertake a project with his son. “After so many years of working, I had time,” he said. “I was thinking, “What can I teach my son?” As an entrepreneur, Kannan decided to show his son the basics of a business plan. For the purpose of the exercise, Amit decided to create a swim team. Around that time, Kannan and his son had an argument about swimming in which Amit asked him, “Don’t compare me to anybody.” This helped spark an idea.

Kannan came to understand the individuality of swimming strokes, pored through the documents of other swim-specific technologies and saw an opportunity for an external tracker. He applied his expertise to create “Aspiricx” and the concept of “”

To compliment his vision and technology he put together a great team with Priya Rangaswamy, an expert in business process as co-founder and COO. A right set of world class team joined together to make the vision come true for Aspiricx including, “12 times Olympic Medal Winner, Natalie Coughlin”, “USA National Junior Team Coach, Ethan Hall” along with a set of analysts, skilled engineers and architects under the guidance of advisory board members including “USA National Team High Performance Manager, Russell Mark”.

Today, Kannan envisions and strives to transform the cutting-edge and emerging technologies to provide business value for the customers. He has helped organizations to grow from few million to a multi-million-dollar enterprises with his expertise. He has also played a vital role in the strategic management of the enterprises transforming from a product specific to broader industrial solutions company and led the team for potential partnerships, M&A and Investments.

“You want to aspire to be better, and that’s the kind of whole vision of the company Aspiricx, is to help you aspire to be better than you are today”

Natalie Coughlin, Olympic Champion (Winner of 12 Olympic medals for USA, as many as an American woman has ever earned)

Today’s Vision about Tomorrow

Moving ahead, Aspiricx’s vision has the potential to introduce new sources of growth and will create significant business opportunities and societal value. “In building our swim analytics product, we realized how hard and time consuming it is to set up computer vision and machine learning infrastructure. That is why we are enroute to building a state-of-the-art integrated vision platform. A seamlessly integrated, flexible and managed full stack computer vision enabler platform for the world of vision driven applications. One integrated platform that offers ready-to-implement APIs that converge with latest advancements in computer vision and the expertise needed to train and build custom models that can be used to develop custom applications effectively,” Kannan concluded.


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