Camera Identification Report

Once the camera has read the license plates that are in the proximity of the patrol vehicle, it will then compared the license plate numbers to a database that contains the license plates numbers of vehicles that have been stolen; license plates numbers of vehicles that are associated with people who have active warrants; and license plates numbers of vehicles that are associated with people who have not paid traffic tickets among others (Lum et al., 2011, pg. 322). If the camera reads a license plate number and it matches to one of the license plate numbers that are within the database, it will then send an alert to notify the patrol officer, which will allow the patrol officer to visually identify the vehicle and further investigate the vehicle and the persons that are within the vehicle if any (Lum et al., 2011, pg. 322). The whole process of the camera identification, matching to the database, and notifying the officer only takes seconds (Lum et al., 2011, pg. 322). ANPR can make patrol more effective because without this technology, officers would have to input license plates numbers manually into the databases in the computer that is located inside the patrol car or through communications with the dispatch (Lum et al., 2011, pg. 322). When this process is conducted manually it can take several

In many cases, patrol officers have to act quickly and enter buildings that they never been in before and do not know what to expect of what is behind the walls of the rooms. TWS can at least give the officer an idea of the infrastructure behind the wall and see if there is any movement as well. Although TWS can see through most walls, it cannot see through metal walls or differentiate of whether movement behind a wall is from a human or an animal (Miles,