Python's best | Explore our 10th annual Python top picks for 2024. Check it out!
Video Analytics
Turn videos into actionable insights
We have a track record solving problems in perception and video analytics for several industries.
Our video analytics solutions
Whether you want to detect an object and its position, understand your store flow, or optimize a self-driving car trajectory, we've got your back.
Norfair: multi-object tracking library
Released open-source on GitHub, you can use Norfair to solve a wide variety of video analytics cases such as tracking and counting with a few lines of code.
A wide range of industry applications
From transportation, counting objects, recognizing actions, and discovering navigation patterns to turn into insights that improve a business, there are an infinite number of video analytics opportunities.
Average wait times
Parking predictability
Security insights
Shopping behavior tracking
Construction safety
Vision on the edge
Deploy performing computer vision solutions in edge devices with low power consumption.
MaskCam
Together with BDTI , NVIDIA and Jabil, we created a product capable of running a real-time deep learning face mask detection model on an embedded device: real-time AI on the edge.
Helmet detection
Monitoring helmet usage in different scenarios leads to useful insights to take preventive actions, saving time and resources.
Behavioral tracking
human flow counting
Estimate customer conversion rates and improve behavior understanding at physical stores.
Human flow tracking can improve the effectiveness of stores when converting customers and provides insights about the distribution of people entering the stores during the day.
Get data from your
videos
Services
© 2024. All rights reserved.
This website uses cookies to improve user experience. Read more