BodySLAM™ processes 2D video and outputs 3D motion data, enabling real-time human-machine experiences across a range of industries, from health care and retail to transportation and entertainment.
Augmented reality and virtual reality merge the digital and physical worlds to create engaging, interactive experiences for users in real time. Leveraging the power of AI and deep learning, BodySLAM enables developers to create magic mirror apps and Snapchat-like filters for the body. This allows users to interact with companies and their products in a frictionless way, delighting them and inspiring brand loyalty.
The history of computing and robotics is a history of humans adapting to machines. With AI and deep learning technology, we now have the power to teach machines to adapt to us and to understand our body language and non-verbal cues. This is becoming more and more important in both domestic and commercial environments. Human pose estimation enables robots to understand the people in their environments and interact with them in safe, helpful ways.
Eyes for Intelligent Assistants
Intelligent assistants, found in our cell phones, tablets, and homes, all have ears capable of responding to voice commands. We give those assistants eyes so that they may understand human intent based on gestures and other non-verbal cues. This can include turning the volume up or down with a flick of the hand, or the assistant reminding us to stand up straight.
Human Activity Recognition
Until now, surveillance systems have been blind in that they monitored an area without really seeing and understanding what’s taking place there. Today we have the power to equip surveillance systems with smart eyes that can detect, recognize, and understand human activity. For example, we can now detect whether a person has fallen and if that fall was an accident or play.
Markerless Motion Capture
Motion capture as we know it involves a host of special cameras, body suits, and sensors, which are expensive and time-consuming to set up. With BodySLAM we can track and capture human motion with existing consumer infrastructure and hardware, democratizing this technology for use in sports, film, health care, and more.
Safety considerations are at the forefront of technological advances in a range of industries, from transportation to health care, and more. By tracking individual activity and intent, we can ensure human safety in the workplace, at home, and on the road, in both human interactions and human-machine interactions.