Intelligent Policing (IP)
IP ANPR
Overview
Temporal analysis of vehicle sightings
First generation ANPR systems have been extremely successful in detecting simple crimes: tracking known VRMs, finding stolen vehicles and prosecuting uninsured or un-taxed road users. While these achievements are significant, it is only when ANPR data is enriched with information from other sources, particularly operational intelligence, that its full power becomes apparent.
Summary of most significant vehicle sightings
Developed in conjunction with Kent Police, IP ANPR, is unique in combining intelligence and ANPR data into a powerful toolset able to detect and investigate serious and complex crime. Through detailed analysis of vehicle movements, IP ANPR reveals patterns of behaviour which, when linked to other intelligence data, provides forces with a truly powerful investigative tool. Importantly, it builds on existing investment in ANPR and intelligence data and does not add to the data administrator’s burden.
Intelligence and other information assets, regardless of source, fall into one of six key categories: events, locations, objects, people, communications, and organisations. IP ANPR finds the connections between these entities and unlocks the hidden value that lies within.
IPL’s solution
From an uncomplicated, intuitive web browser interface, non-analyst users can search and navigate these associations. With IP ANPR users can, from one system, move from detailed analysis of vehicle movements to freely navigate associations with operational information on people, events, locations, objects, etc. and then back again to look at vehicle movements.
Analysis of vehicle sightings by location
The ANPR information is displayed spatially, chronologically, and statistically (using street maps, timelines, charts, and tables) and allows anomalous behaviour to be highlighted. But the real power of IP ANPR is being able to see this information in the context of other intelligence such as crime scenes, crime series, pre-crime activity, MO signatures, suspect groups, etc. Having all this information visible from one system allows lifestyle and offending hypotheses to be formed and tested, leading to greatly improved clear-up rates.
Operational scenario
Here’s an example scenario showing what can be achieved using IP ANPR:
An officer is investigating a series of 4 armed jewellery shop raids over the last 3 months. The MO appears to be the same: in all cases, the get-away vehicle is later found abandoned a short distance away and the robbers are presumed to have transferred into another vehicle.
Viewing operational data through IP ANPR
From IP ANPR the user performs a crime series search in the vicinity of the abandoned cars for a short time window just after each robbery. Results show one vehicle (VRM1) that was in the area of three of the four crimes. The system shows this to be linked to a Nominal (N1) who is also associated with another Nominal (N2) and that N2 has a previous conviction for armed robbery.
The system shows N2 to be the linked to a van (VRM2). Further searching in IP ANPR reveals that VRM2 displays some anomalous behaviour in the 48 hours after each robbery. Specifically it can be shown that, in each case, it took the same journey to an estate 10 km away. IP ANPR shows that there is Nominal (N3) living here with convictions for handling stolen goods.
IP ANPR is thus able to help quickly target resources to achieve the best effect, saving months of conventional investigation.
Why IPL’s solution is different
Viewing operational information linked a nominal
The bottom line is that IP ANPR makes your information assets work harder. It helps you get answers to difficult questions spanning multiple information sources in real time. And it can be used by operational users, not just intelligence analysts.
The acid test is this: can your existing ANPR system help you answer these sorts of question?
- How many CAT Bs go out and back on a particular stretch of road on a Wednesday between 16:00hrs and 18:00hrs?
- How many sex offenders go into a given town centre on a Saturday night between 21:00hrs and 00:00hrs?
- How many paedophiles are seen in the vicinity of primary schools within a given area?
- How many CAT As are seen in the vicinity of ATM robberies within a given area?
Assuming the information exists already in your database, IP ANPR can give you the answers in seconds!
Vehicle sightings - location and timeline
Benefits:
- Easy to use by non-technical, non-analyst personnel
- Quick query responses
- Utilises any accessible intelligence and ANPR data assets
- Correlation of vehicle movements with crimes, people, locations, events
- Analysis of behavioural patterns, normal vs anomalous
- Corroborating statements and alibis
- Identifying probable witnesses
- Allows efficient targeting of resources
- Built upon modern, powerful, industry-standard technologies
- Can be adapted to use force-specific map servers
Email us for more information or call Dan Sims on +44 (01225) 475263