Lumeo, a designer of computer vision solutions, has announced a new flexible analytic that conditionally blurs objects such as faces, license plates and more to ensure that surveillance systems adhere to privacy and conform to legal requirements.
According to the company, the new video redaction solution helps to protect individual privacy while also protecting people and assets inside and outside of facility walls.
Furthermore, the conditional redaction analytic provides customers control of when, how and what to blur. This ensures that everything else in the video frame or image can be seen and monitored as usual. Its capabilities include:
“Ensuring privacy is no longer a nice-to-have if you are using physical security solutions like video surveillance. Our customers must find the right balance between securing their organization and protecting individual privacy,” said Devarshi Shah, CEO and Co-Founder of Lumeo.
“We see this analytic as the solution to complying with privacy laws, many of which come with large punitive consequences.”
Lumeo says its solution is the first and only ‘no-code’ video analytic builder that provides flexibility to create and deliver custom analytics, with no technical skills needed. Using web-based drag-and-drop tools, analytic building blocks, pre-made and custom AI models and third-party integrations, users can define and deploy the conditional redaction analytic no matter the hardware (IP/analog camera, video recorder) or video management system in use.
“This flexible analytic will not only help customers keep people and property safe but will also help them to navigate the ever-changing privacy regulatory landscape,” said Shah.