Ikena Forensic. What happened, clarified.
A Montana State Trooper was killed during a high-speed pursuit of a suspect on a Montana highway. The suspect fled the scene.
Ikena Forensic enabled analysts to stabilize the shaky, blurred video retrieved from the trooper’s mounted dashboard camera. Using an overlay from a still photograph taken at the scene, MotionDSP engineers clearly proved what happened: the suspect’s car was driving on the wrong side of the road when it clipped an oncoming truck. This action forced the truck to veer into the trooper’s car, resulting in the state trooper’s death. Ikena also clarified the image of the suspect’s car, aiding in identifying the make and model so the suspect could be identified.
While the case is ongoing, MotionDSP provided a strong lead in the search for the suspect and enabled the police to use the crude VHS tape from the on-board camera as forensic evidence to prove that the suspect's illegal actions directly caused the death of the state trooper.
Naval Criminal Investigative Services (NCIS) had surveillance video of a suspect’s vehicle passing a security camera. Although the vehicle was in clear view, the letters on the license plate were unreadable....
Naval Criminal Investigative Services (NCIS) had surveillance video of a suspect’s vehicle passing a security camera. Although the vehicle was in clear view, the letters on the license plate were unreadable.
At a training session, a NCIS analyst used Ikena Forensic to reconstruct the characters on a license plate using Ikena’s super-resolution (which combines the best information from multiple frames of video) and MotionDSP’s patented de-interlacing algorithm. Immediately, the license plate characters were visible.
With the license plate details in hand, the Navy was able to conduct a database search that led to a positive ID of the perpetrator.
Shoplifting and employee theft cost US businesses billions of dollars annually. Retailers maintain a database of known thieves and shoplifters, and keep photos of the individuals. They compare surveillance images with...
Shoplifting and employee theft cost US businesses billions of dollars annually. Retailers maintain a database of known thieves and shoplifters, and keep photos of the individuals. They compare surveillance images with their photo database of known shoplifters, and if a match is found, they must quickly pass the image to local law enforcement so the suspected shoplifter can be apprehended before leaving the area. Speed is of the essence.
The challenge is that surveillance images need to be high quality in order to be matched accurately to the database, and the quality of images from retail security cameras (also known as CCTV cameras) can vary significantly due to the camera’s location, resolution, and the movement of the individual.
MotionDSP’s Ikena Forensic software is able to significantly increase the fidelity of images captured from video so the clearest image can be matched to the database and given to law enforcement. If an employee spots a suspected shoplifter, security staff can use Ikena to quickly extract a high quality still image and verify a positive match. Security can then immediately turn the image over to law enforcement so they can apprehend the suspect.
Shoplifters who might not otherwise be caught and convicted will be stopped, preventing further loss. Law enforcement does not typically have the resources to apply video forensic services to non-violent crimes. Stores help the police take shoplifters off the street by providing them with high-quality evidence. Stop one or two shoplifters and the software pays for itself.
Competitive video clarification tools employ manual frame-averaging tools that require hours of manual work by highly trained experts. Ikena Forensic’s super-resolution delivers faster, superior results in far less time by weighing good data over "bad" for smooth, noise-less reconstruction. Even better, it does so automatically in one single click using mathematical algorithms that are precisely reproducible every time. No advanced training or forensic expertise necessary.
See what Ikena Forensic's super-resolution filter reveals the face of the individual.
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Ikena Forensic’s stabilization algorithm leverages "MotionDSP’s accurate multi-frame motion estimation from up to 51 video frames to robustly stabilize video from hand-held, vehicle-mounted aerial cameras.
See Ikena Forensic's stabilization in action (along with Ikena Forensic's other fidelity improvement algorithms) on the Zapruder film of the Kennedy Assasination (before/after).
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Blurring occurs due to the low-pass nature of a video camera's optical system and compression. Rudimentary sharpening tools sharpen edges but increase noise. Ikena Forensic’s sophisticated deblurring filter (bilateral total variation) sharpens images and preserves detail without increasing noise.
Analog NTSC and PAL interlaced video systems are still widely used. Effective fusion of odd and even interlaced fields can effectively double resolution, if motion can be handled properly. Ikena Forensic's patented de-interlacing algorithm can robustly fuse the two interlaced fields with any sort of motion, resulting in a single progressive image without artifacts.
Ikena Forensic extracts details from poorly lit video with advanced tools such as locally adapted histogram equalization, and dynamic/automatic light and color (which adjusts on-the-fly during your video to adapt to changing lighting conditions. In addition, Ikena includes industry-standard controls such as light and contrast, shadows/highlights, gamma, color saturation, and color temperature.
But it is the pairing of these tools with Ikena's super-resolution algorithm that is truly powerful: by combining lighting enhancements with the super-resolution algorithm's ability to reconstruct without noise, Ikena Forensic is able to output an image that has a quality comparable to images created with a longer exposure time.
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