Remote assistant video enhancement
Enables quicker and more efficient resolutions
Smart Glasses and Remote Assistance
We have long experience and know how to address the specific needs for a good user experience in the field of remote assistance, be it as a field worker with a head mounted device or a remote expert giving support.
With stable, high-quality, real-time video processing on remote mentoring – smart glasses allow remote technicians to “see” what frontline workers see.
The Vidhance portfolio contains products to enhance the user experience and improve the overall video quality, and at the same time reduces the required bandwidth for a remote assistance use case.
Optimal for body-worn cameras
Security and Surveillance
Body-worn cameras are vital tools for law enforcement that have to handle situations that can be heated and involve sudden movements. A blurry recording can obstruct the process of accountability. By integrating Vidhance, the video content quality will always be smooth, sharp and stable, making it possible to identify a perpetrator during hasty circumstances.
Feel safe with Vidhance
Security and surveillance
Cameras are effective devices to view and secure an area that needs protection. Vidhance can enhance the video quality in both moving and stationary security camera systems.
We see constant advancement in technology, skills and experience in treating complicated and life-threatening diseases; either in the surgical theaters or by medical first responders out in the field. By the use of cameras, for example head mounted, the surgeon can get live advice from a more senior expert in a complicated procedure, and the first responder can provide more comprehensive information back to the emergency room. With stable, high-quality, real-time video processing on remote mentoring devices allow online senior expert to see the live surgeon and give accurate advice.
All moving cameras
Vidhance is a flexible software. We welcome all motion cameras, both in the consumer and industrial market. Vidhance algorithms can be applied to all moving camera devices where the video quality is an essential factor.