Security and Surveillance systems (such as face and object recognition systems) suffer poor visibility due to low illumination, haze, fog, precipitation, or water turbidity or smoke. Camera sensors are unable to capture images with sufficient contrast in such conditions, which makes object recognition and scene perception very difficult and often inaccurate for both humans and machines.

These operations are required to be performed in real-time, and bad decisions may cause accidents leading to loss of lives and properties. Our technology is useful in enhancing the performance of your current systems when used as a plugin between camera and surveillance applications.

Camera systems are widely used today by individuals, organizations, and law enforcement agencies. Whether you see CCTV cameras installed at home, or security systems at airports, or surveillance drones used by the police force, the markets have been expanding continuously over the past decade.

“The global video surveillance market $42.94 billion in 2019, projected to reach $144.85 billion by 2027, CAGR of 14.6% from 2020 to 2027.” (source)

“Drone services market USD 4.4 billion in 2018 to USD 63.6 billion by 2025, CAGR of 55.9% .” (source)

Here is another article describing the increasing usage of drones in Federal surveillance in the United States.

We offer unique solutions using which security systems can greatly enhance their capabilities under poor visibility conditions, both in real-time applications and post-processing applications.