InData Labs is a computer vision company that provides best-in-class services for you to accelerate the growth of your business.
We use state-of-the-art deep learning and data science approaches to provide scalable and reliable human body pose estimation software and human movement analytics tailored specifically to your needs.
Let us leverage our senior-level expertise to develop a bespoke solution for you from scratch or advance the existing one.
Our team of experts creates effective human pose estimation solutions from scratch. They help track and analyze human movement or activity. This technology has great potential for both the healthcare and sports industries. It can improve fitness or therapy apps including human body joint localization and pose tracking in real-time. It can provide fast and accurate motion analysis and activity recognition, giving prompt feedback on how to exercise the right way to avoid injury.
Human body pose detection based on deep learning can be of much help in the surveillance industry. This innovation can be used at sports venues, airports, train stations and other crowded places to enhance security. Human pose estimation coupled with other data science algorithms for activity recognition and analysis is the perfect combination to help prevent violence.
The technology has the power to transform Entertainment and Media with exciting AR effects. It helps render and align human body parts in a fast and accurate way, making it look lifelike.
At InData Labs, we put the client first. We understand that your business is one of a kind, which is why we build client-centric solutions specifically tailored to your business and the specifics of the industry.
We use our multi-year expertise and top-notch technology to make sure your product stays relevant to the market for many years to come.
The client: a Berlin-based MedTech startup.
The client was looking for a team with multi-year expertise in computer vision to help them increase posture estimation accuracy in their virtual yoga coaching app.
The task was to develop a robust model for more accurate human movement analysis in real time. Also, one of the challenges was to implement a pose tracking algorithm for consistent non-jittering results during application usage.
Our work has resulted in improved human pose estimation and tracking accuracy and better activity recognition in real time.
The client: a US-based startup specialized in human activity recognition and motion analysis.
The challenge was to develop a state-of-the-art pose estimation model to detect a human posture in a real-time scenario.
We successfully applied our computer vision and deep learning experience to aid the client with an AI-driven solution. Our expertise in mobile neural networks and deep learning helped accomplish the human activity recognition challenge in very limited terms, though deep learning approaches require months of work.
Need advice on how to improve your product with AI or want to develop a robust custom position estimation software from scratch? The InData Labs team is here to help.