Video Analytics - Is this the most effective member of the police force?
Is video analytics helping to reduce the time it takes to solve a crime?
With experiments in facial recognition dating back to the 1960's it's no question that it's in constant use nowadays. Although facial recognition is ground-breaking technology It's still in development 50 years on and many mistakes are still made for example white males are more recognisable than other genders and ethnicities and Amazons facial recognition AI falsely identified 28 members of congress as being previous offenders.
Although facial recognition is not recommended for government use other video analytics techniques are and offer searches based on clothing, gender, height, build, hair colour etc. These searches have become increasingly useful in criminal investigations as well as everyday commercial queries such as footfall measurement or customer satisfaction.
What are the benefits?
Video analytics allows to: Clearly identify who is enter or leaving the building, Real time automated video monitoring, Easy to setup as well as install.
Does video analytics help with crime rate?
With an unknown number of surveillance cameras between 4 and 5.9 million the UK is under consistent watch with 1 camera for every 11 people, does this make an impact on the crime rate or is it millions of eyes that are constantly shut? This may be the case with many investigations one example being the London riots in 2011, 500 police looked over 200,000 hours of CCTV footage arguably wasting valuable time and resources. In contrast an interesting case in the US has arisen significantly reducing public spending and police time. The trial is still in progress so information is classified however during September 2017 a 27-year-old woman was murdered in a large city in the US, the incident took place in a public area and the victim was found later that morning however there was no eye-witness or obvious suspect.
How did CCTV help with finding evidence?
Evidently the next step was to review CCTV footage of the surroundings that may provide clues, after the investigatory team manually scrutinised hundreds of hours they decided on using video analytics software to determine the suspect and follow the victim.
The software enabled the team to create an archetype of the woman based on her appearance and bring up images matching the description. Within a matter of minutes, the system had thoroughly inspected the footage presenting enough images to identify the woman and create a time stamped footprint of where she had appeared within the city. This was then used to convict the murderer and opened more avenues of inquest such as accomplice involvement.
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