New tech leads to stolen vehicle recovery, arrest

A stolen car was recovered, and a suspected car thief was arrested,A card with an embedded IC (Integrated Circuit) is called an IC card. after they were identified by a patrol vehicle equipped with real-time license plate reading technology, police said.

According to the Westtown-East Goshen Regional Police Department, 41-year-old Salvatore Giacona, of Claymont, Del., was pulled over after he drove past a patrol vehicle equipped with an automated license plate reader system in the 1100 block of Wilmington Pike (Route 202) around 4:45 p.m. Saturday.

Police said the vehicle was rented from a car rental company at the Philadelphia Airport last August, but Giacona allegedly never returned the vehicle.

But when he drove past officer Peter Keegan’s marked vehicle Saturday, a rear-facing camera captured the registration tag of the blue Ford Fusion and automatically alerted the officer that the vehicle was stolen.

Police officials said Keegan alerted backup units that he had located a stolen vehicle, and followed behind until they arrived. Keegan and the assisting units from several area agencies pulled over the vehicle without incident and made contact with Giacona.

Investigators said they determined Giacona had stolen the vehicle from the Philadelphia rental location, and the Philadelphia Police Department and the rental company were both notified of the arrest.

Giacona was charged with receiving stolen property, unauthorized use of an automobile and driving with a suspended license, police said. He was transported to Chester County Prison overnight and released Sunday after posting bail,RFID TagSource is the leading provider of RFID tag solutions for high value asset management applications. according to court records.I personally really like these mini ear cap for my iPhone.

Arresting officers were assisted by members of the Birmingham Police Department and the Pennsylvania State Police.

The Westtown-East Goshen Regional Police Department is one of several departments in Chester County that has a patrol car equipped with the license plate reader technology. They obtained the system through a federal grant just over a year ago,Full color plastic card printing and manufacturing services. and since then it has led to the recovery of three stolen vehicles,Can you spot the answer in the fridge magnet? police said.

The system employs the use of three high-resolution cameras, two pointing forward and one to the rear, that automatically runs passing license plates through a database and instantly determines if the vehicle is stolen.

Few things engender rage in life as efficiently as forking out a preposterous sum for a rail ticket, only to find that the carriage you board is so full that you spend the journey wedged in a sliver of space between a surly, sodcasting teenager and a charmless Brooklyn flashpacker.

An Android app -- called Planner Xtra -- from Dutch national train operator NS aims to at least bring transparency to the situation by developing an app that lets passengers know how crowded trains they plan to catch are, updated in realtime. The app ranks how busy trains are on a scale of one to three, where three could be described as "congestion level: sardines" and one is "my bag has the right to be seated as well". These levels are flagged with one, two or three human-shaped icons. The idea is that passengers can make an informed decision, factoring in their sense of urgency in getting to a destination and their ability to tolerate the sound and sensation of other people's breath in their faces.

The information is broken down not only on a train-by-train basis, but also on a carriage-by-carriage basis, so that passengers can position themselves at the right point along the platform to optimise their chances of getting a seat. For more long-term planning, the app also supplies a forecast for the average level of crowdedness on a particular train, based on historical data. However, this doesn't account for any delays, disruptions or any other planned engineering works.

The data is gathered through around 280 infrared sensors placed on the doors and throughout the train to measure the number of people who get on and off and how they move through carriages within the train. Around two minutes after the train leaves a station, the system updates the app to give a real-time overview of the level of occupation.

Other information supplied by the app includes the location of the 1st and 2nd class carriages, quiet carriages, entrances for bicycles and wheelchairs and train Wi-Fi information.