Why Evidential AI Has to Be Layered
Lessons From the Cases Where It Wasn't. Once an AI system's output becomes part of the evidence in a criminal case, it starts being judged like a witness.
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Practical writing on video investigation, disclosure, and digital evidence, for the people doing the work.
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Lessons From the Cases Where It Wasn't. Once an AI system's output becomes part of the evidence in a criminal case, it starts being judged like a witness.
Read the article →Proprietary CCTV and DVR exports often won't open in a normal video player. Here is why, and how to play and convert them without losing evidential value.
Before CCTV is disclosed or released, third parties usually have to be obscured. Here is how to redact faces in video and keep a record that stands up.
Reviewing hundreds of hours of CCTV by eye is slow and error-prone. Here is how investigators use video analytics to cut it to the minutes that matter.
In today’s fast-paced digital age, video analytics has become a vital tool for law enforcement agencies worldwide.
In an era dominated by digital media, the integrity of visual content is a critical concern, especially for law enforcement.
The rise of CCTV cameras has transformed surveillance, offering a wealth of visual data to monitor and investigate crimes.
As surveillance systems continue to evolve, the demand for efficient video compression becomes more critical.
Person and Vehicle Attribute Recognition is designed to empower LE users with the ability to find individuals and vehicles in video.
Kinesense has been awarded “Best Application of AI in an SME” at the AI Awards 2022 for our work with Trinity College Dublin and Overcast on the VISP Project.
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