Be AI and Video Analytics
Ready with the
MOST ACCURATE
360° IMAGE
Image Quality
Over the past 15 years, the accuracy and range of video analytics have tremendously improved, from basic people counting to facial recognition. Today, even more than before, image quality is the gating factor to reliable video analytics results, and this is especially true when it is performed on 360 images.
Erroneous analytics results may lead to serious consequences such as an unattended luggage misidentified in an airport lobby.
When performing video analytics and AI at the edge of wide-angle images,
the choice of lens is of paramount importance.
PANOMORPH
Images from Immervision panomorph lenses have a much higher
pixel density towards the edges, thus providing a higher
resolution image, as seen in the example.
FISHEYE
Images courtesy of CBC Computar
Images from traditional fisheye lenses are compressed
and have a lower pixel density, making it often difficult
to recognize objects.
Understand the importance of image quality in advanced video analytics and AI
Learn about the various impacting factors and how to mitigate them, and discover how Immervision’s panomorph lens technology and software can enable image quality for wide-angle applications by watching our webinar
Access Webinar
Learn more about image quality and how it affects video analytics
and AI applications in the featured article from the spring 2020
edition of SIA Technology Insights
Quality In, Accuracy Out: Applying Video Analytics to
High-Quality Images for Effectiveness
Learn more about how video surveillance using panormorph lenses provides more accurate images for video analytics and AI applications
