Segment & Search Video Using AI
At Xyonix, we use state of the art computer vision to automatically see and distill valuable insights across your video collections.
Using AI Driven Video Metrics to Improve Soccer Performance - YouTube
Using AI Driven Video Metrics to Improve Soccer Performance Xyonix
Xyonix228 subscribers
With the mass proliferation of video cameras, many folks are drowning in too much video content, and are unable to make sense of all this data. There's likely not enough hours in the day to watch all these videos and hone in on the few high value segments. One of our customers had a similar problem. This client regularly records an extremely large volume of surgery videos. The video is used to train physicians by having other expert surgeons, health care professionals and crowd workers review the videos and provide strategic feedback. Because surgeries can be very long, they needed a cost effective solution for segmenting the videos so they could more effectively allocate their precious human resources. For example, they wanted to know which segments were in the body, and which were out; they wanted to known when suturing, cautery or other surgical activities occurred. To our knowledge, there were no off the shelf solutions that could work in such a specialized visual domain. In addition, projects like this often take a year or longer to get something into production.
Dominique Grinnell, Sr. Product Team Manager at Delta Dental of Washington
“I don’t think a five out of five really encapsulates the work that they do. The work is top-notch. It’s what we ask for and more. They go the extra mile in terms of letting us know that whatever we need, they’re there for us to lend their expertise, to be in a meeting if they need to, to explain the project in more detail. So it’s really going above and beyond.”
Due to our experience and our Mayetrix platform, we were able to develop, evaluate, and build out a modern deep learning based AI solution and get the models into a production environment with simple, secure REST based API access in just a few weeks. We were then in a great position to regularly deploy new model improvements without any interruption to our customer's business. Following initial model development, we were able to address more challenging AI tasks like actually tracking objects in the scene.
As seen in the video above, in another recent project, we tried to see how segmented objects, like a soccer goalie and ball, can be used to enhance sports performance. Read the full article HERE.
AI Med Spa Assistant
Xyonix teamed up with an early-stage startup to launch an AI iPhone app based assistant to help Med Spa nurse practitioners. The AI technology adeptly categorized facial features, aiding in the assessment of treatments and spotting issues like temporal visual changes, ineffective product batches or injector performance. Integrated with iOS for precise patient driven photo alignment, the system enabled consistent treatment tracking. We played a pivotal role in technology development and strategic product planning; our involvement was key in fusing medical accuracy with technological innovation in product development.
AI Backed Surgery
For a fortune 500 company, our Xyonix built models are in production today constantly analyzing thousands of recent in body surgery videos and reviews across many hundreds or thousands of surgery rooms around the world. Our models watch never ending streams of surgery videos, and read countless reviews. Our models power dashboards that help surgeons improve.
Early Developmental Risk Screener
We helped our client build out automated tools for early motor development risk and autism spectrum screening. Automatically and accurately extracting an infant’s pose and understanding these movements over time can be essential in preventing a lifetime of problems.
Your AI Injection
Improving Sports Efficiency Using AI
Jun 22, 2021Season 1Episode 4
This week, our data scientists discuss how AI-driven body pose estimation technology can be used by athletes to improve sports performance.
Too often, athletes face injuries that could have been prevented by better technique and body positioning. When running, impact at each step, overtraining and poor form can promote undue strain on muscles, joints, and tendons and the cumulative effect can lead to serious injury. Getting professional feedback from physical trainers to prevent these injuries can be costly, tedious, and ineffective.
After facing a major injury while training for a marathon, one of Xyonix's own data scientists created a machine-learning algorithm that relies on body pose estimation technology to assess and correct his running form. The device measures the motions of key body parts based on videos of the runner to assess for inefficiencies such as asymmetrical technique or poor cadence.
If you're interested in reading about this topic, visit our blog article here: