Over the last 9 years we have been working with international law enforcement agencies to help them exploit video material for intelligence and evidential purposes. More recently, there has been a shift in the challenges faced by investigators. In Version 3, we addressed these challenges.  We altered the backbone of our platform to greater collaboration, faster analysis and enhanced insights. Let’s take a closer look at how these were addressed.

Greater team collaboration

“We have more occurrences of major events and larger scale investigations. When these happen, they generate large volumes of video. How to manage all these different sources and enable collaboration across investigators has been a huge challenge. We are either shipping disks with video around or we are putting our investigators in buses”

It is important that investigators can share workload and collaborate during an investigation. Kinesense V3 supports simultaneous user access. Video from multiple sources can be imported into a case. You can then assign an investigator to start searching and reviewing video using Kinesense automated search algorithms. Some of our customers organise their workload by groups i.e. street names or days of the week. Then they assign a group to an investigator. As the investigator searches the video, they bookmark or tag key events of objects of interest and create their viewing log. No more taking notes in word or excel. The viewing log is shared between team members so everyone is aware of the latest intelligence. This development enables greater collaboration, reduces workload and delivers fast results.

 Data Exploitation tools

“We would like to be able to search video using face recognition and ANPR is this something that we can do in Kinesense?”

Customers across law enforcement use our platform for different purposes. At Kinesense, we want our customers to be able to use our platform from capture to court whilst making the most of the various tools and analytics in the market place. Therefore, we have developed an open API to allow third party plug-ins. Currently, face recognition capabilities have been added in and more will be available in 2018.

 HD Video processing challenge

“Increasingly we have to deal with more disparate sources of video not just from CCTV but smartphones, BodyWorn. More often than not, video is high definition which due its size takes longer to process and requires more storage space”

High definition (HD) video is increasingly common as cameras get cheaper. Although the image quality is great, it means more information for a video analysis solution like Kinesense to process. Kinesense has worked in improving the Kinesense import mechanism to enable faster HD video importation. We are delighted to report that on average, HD import is now x3 times faster than previously. Furthermore, we have structured importation to ensure PC resources are used more effectively enabling more HD video streams to be imported simultaneously than before.

At Kinesense, we are always exploring how to elevate video investigations to the next level. Any comments or questions, let us know.