Visidon’s Real-Time Video Noise Reduction has been awarded the 2025 Edge AI and Vision Product of the Year Award in the Edge AI Software and Algorithms category.
Visidon’s AI-powered Video Noise Reduction technology significantly enhances low-light video quality for surveillance and security applications by addressing key shortcomings of traditional ISP-based methods. Conventional noise reduction often compromises essential image details, resulting in blurred footage that can obscure critical information, particularly in extremely low-light conditions. In contrast, Visidon’s advanced convolutional neural network (CNN) technology effectively overcomes these limitations, delivering clarity and detail even in environments as dark as 0.01 lux.
Visidon employs a purpose-built, AI-optimized algorithm specifically designed for surveillance applications. This approach enhances object detection accuracy, improving recognition rates by up to 50% compared to footage processed with traditional ISP noise reduction. With real-time performance as a priority, the technology utilizes high-efficiency neural processing units (NPUs) in smart cameras, allowing for seamless and power-efficient deployment on embedded devices. This capability ensures high-quality noise reduction without compromising energy consumption or device compatibility.
Unlike other solutions that focus on producing visually appealing outputs for consumer devices, Visidon’s technology prioritizes optimization for machine vision. By preserving crucial details essential for analytics and object recognition, it delivers unmatched precision for demanding applications such as smart surveillance. With the growing integration of high-performance NPUs in smart surveillance cameras, Visidon’s CNN-based approach can be implemented effortlessly, resulting in a transformative improvement in video quality during low-light scenarios.
“We are truly honored to receive this recognition for our video noise reduction technology. At Visidon, we’ve dedicated years to perfecting AI-based image and video enhancement for embedded systems, and this award is a testament to that work. Our CNN-based low-light enhancement solution addresses the unique challenges of surveillance cameras, enabling clear, accurate imaging even in ultra-low-light conditions. This achievement reflects the expertise of our team, our long-standing industry partnerships, and our commitment to pushing the boundaries of Edge AI. Thank you for acknowledging our innovation and its impact on the future of surveillance imaging.”
Founded in 2006, Visidon is a spin-off from Oulu University Machine Vision Research Center. Our founders hold several patents in image processing and image recognition, and doctoral degrees with dissertations on image enhancement. Today, our technology can be found in more than 1 billion mobile devices in the world.
The award trophy will be presented at the 2025 Embedded Vision Summit May 20-22 in Santa Clara, CA. The awards program is organized by the Edge AI and Vision Alliance. The Edge AI and Vision Product of the Year Awards celebrate the innovation and achievement of the industry’s leading companies that are enabling and developing products incorporating edge AI and computer vision technologies.
