• Video Analysis for Investigations

    KINESENSE provides you with one open platform to manage all your video Investigations tasks. By combining our smart video search technology with easy to use reporting functionality, investigators can generate leads faster.

  • How to find the critical evidence hidden in thousands of hours of video?

    Kinesense Software was built to find that needle in the haystack.

  • What Kinesense Does.

    1. Video Retrieval

    • Import CCTV, bodyworn camera and surveillance footage.
    • Easy video retrieval from multiple formats.
    • Configures with little to no effort.
    • Simple for non-specialists to use.


    2. Rapid Video Review

    •  Automated search and analysis.
    • Immediately find the events that matter.
    • Advanced video analytics that scan large volumes of footage quickly.
    • Saves up to 95% of search time.
    • Works with low-quality footage.


    3. Intelligent Video Reports

    • Exports court ready video and evidence reports.
    • Intelligence and team briefings.
    • Preserves chain of evidence.
    • Custom title slides and formatting.
    • Export to Avi/DVD/Word/PDF. 
  • Background

    Kinesense is used by dozens of Police Forces worldwide. CCTV video and surveillance footage helps solve crimes and convict criminals, but it can be an expensive and time-consuming process. It takes a significant amount of time to retrieve, watch and report on video footage as evidence. It’s also common to encounter incompatible proprietary video formats that can complicate the process.

    Kinesense automatically searches for key events in footage from a variety of analog and digital CCTV sources. It enables quickly building reports for teams or court briefs by drag and drop clip-stitching and annotations, reports are exportable in document and DVD format.


    It’s easy to use and guaranteed to help law enforcement agencies complete investigations with significantly less time and effort. It enables time-efficient video retrieval, search and reporting from vast amounts of video evidence, while ensuring the integrity of your evidence.

    You can use Kinesense software on individual machines, or deploy it across an organisation.


    For more information visit the Kinsense website.


    The Challenges of Video Evidence*

    Greater Manchester Police (GMP) is a large metropolitan police force in the United Kingdom. With an ever-increasing workload, GMP wanted to adopt video analytics in order to cut down the time spent watching CCTV during post-event investigation.


    Detective Chief Superintendent, Head of Crime, Russ Jackson oversees the VERA unit who support major investigation teams. They process over 800 CCTV jobs per year related to major investigations. CCTV is important as it helps verify witness and suspect statements and frequently provides the key evidence to convict perpetrators. By using a video investigation platform which incorporates video analytics, the unit has been able to significantly reduce the amount of video that they have to sift through and more importantly it has enabled them to find events in video quicker which helps operationally.


    The average time saving from using video analytics is 79 %. Once video for a case is recuperated, the VERA team start uploading into a case file in their video investigation platform. Video algorithms read the video, indexing objects and events by colour, location and direction of movement. When an investigator searches by creating a visual filter, the software calls up what has already been detected as it indexed the footage, and shows only the desired events. For example, only people coming and going from a particular door or cars of red colour, etc. The system is also able to automatically find a particular person in video fully automatically from one camera scene to another.


    There are significant complexities for law enforcement when dealing with video. They do not have control over the video sources which they make use of. A large portion of video is obtained to third party sources, e.g. hotels, shops, etc. so the format is always different. The video is often of poor quality with low frame rates and poor resolution. It is important that video analytics can deal with such video. The most important thing is that events are detected. The production of false alarms is tolerable. Time and ease of use is important so calibrating video analytics to the scene is not typically possible.


    Video analytics for post-event investigation in law enforcement is greatly increasing. It is key time saver that still requires manual interpretation. It aids the investigator rather than replacing one.


    *Extracted from European Reference Network for Critical Infrastructure Protection (ERNCIP), "video-analytics-adoption-key-considerations-end-user-erncip-thematic-group-video-surveillance", 2016.

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