A 'hit and run' solved in only 3 hours
A cyclist, although riding on a bicycle path separated from the main road, got hit by a passing car and was severely injured. The car driver fled the scene. A witness who attended to the injured cyclist recognized the model of the car but did not record the license plate. Since the exact time of the accident was known, the police could easily search the camera images from an ALPR camera nearby (database records in that time slot) and isolate the cars of that make (smart query). Based on the license plate data, the violator was apprehended at home only a few hours later, with his damaged car still in his garage. Case closed, no further investigation needed (and a lot of tax money saved).
Burglars caught red-handed
A burglar with a (foreign) license plate was at 'work' in a quiet neighborhood. When he drove away from the victims' driveway, he was spotted by an attentive neighbor. When the witness discovered his neighbors' damaged house door, he called the police. He only remembered a small part of the license plate and the nationality on the burglars' car. The Macq M³ ‘Complex Search Queries Module' used wildcards for the missing characters of the license plate. Sure enough, our Macq ALPR camera in that area automatically spotted and photographed the burglars' car (98% recognition hits). The full license plate was then entered into the 'blacklist management' system and other ALPR camera's started following the car, automatically alerting police dispatchers of its whereabouts. The M³ Blacklist Management module also predicted a plausible trajectory to the nearest highway. The burglar was dumbfounded when he was swiftly intercepted and caught red-handed with the loot still in his car, even before he made it to the border. Case closed; no further investigation needed.
A murder investigation break through induced by our ALPR cameras
When a house jacking and murder investigation hit a dead end due to the lack of material leads, the detectives asked Macq M³ experts to help them out. Our expert programmers designed a very smart query to recognize patterns in the data registered by some ALPR cameras many miles away from the murder scene. By e.g. recognizing and then eliminating the normal, frequent local traffic (usual patterns) from the 'big data', a certain number of vehicles with an unusual origin-destination behavior could be filtered and isolated. By refining the smart query step-by-step, the murderer was found to be the only one to have scouted the murder scene area with two different self-owned cars at different times, for which he could not give a plausible explanation (alibi). This was furthermore known by the police. It was the ultimate break through the detectives needed to force the murderer to confess to the murder...