‧Recycle collecting Truck (Ireland, UK, USA)
‧AR-V6002FL works as database center.
‧Installing RFID technology in all trucks. Once the bin is picked up, system will identify the ID and communicate back to the server (Waste management) through 3.5G/4G, also link data to the customer account as indicated below.
As urbanization continues to expand, the overpopulation in cities inevitably puts pressure on waste and recycling authorities. Therefore, keeping our cities clean is of the utmost importance in civil affairs. Implementing a multitasking computer can boost the deployment of garbage truck pick-up services. For example, route planning, weigh bridge control, materials sales, and job dispatch are common tasks performed during waste management services. Despite customers’ varying time needs for trash pick-up services, the job dispatch center can always arrange a cost-effective route for each garbage truck.
At the same time, workers can use RFID technology to automatically identify and document the correct trash bins using the accurate numbers. By standardizing and automating waste collection services, we can bring ourselves one step closer to an improved way of living.
Drivers Fatigue Management
‧Mining Truck (Australia, Brazil, USA, Indonesia)
‧AR-V6002FL works as a fatigue management & database center.
Long hours of mining truck operation can take its toll on truck drivers. Accompanied with repetitive movements, drivers are easily distracted, causing work-related accidents. Preventing these accidents not only saves companies from lawsuits and considerable financial compensation, but also increases work efficiency.
To enforce safety measurements at mining sites, Acrosser’s industrial-grade in-vehicle computer was installed on each mining truck, and integrated with an infrared sensor. The sensor could detect whether the driver was fatigue or not based on eye movements, and send a quick vibration alert to the driver’s chair as a warning. The message was simultaneously sent to the job dispatch center to notify fleet managers to arrange a replacement to avoid the occurrence of any severe problems.
Government narcotics agents have secretly built a database of “hundreds of millions of records” on the movement of in-vehicle pc in the United States, the Wall Street Journal reports. The information, originally meant to help steer police toward suspects in drug-smuggling cases, is now used in kidnapping cases and other crimes.
An important point of the program is to confiscate cars and other assets of people suspected of crimes. Such civil forfeiture, as it is called, is controversial in part because it has far fewer safeguards against abuse than punishments made in criminal cases. Whether the car-tracking intelligence program is supervised by the courts remains unclear, the Journal says.
It had already been known that the Drug Enforcement Agency (DEA) tracked the license plates of cars coming in from Mexico. The news is that the agency, together with state and local authorities, is also conducting surveillance on major highways elsewhere in the country.
According to the Journal, highway in-vehicle pc cameras not only note the time, direction and location of vehicles but also record “visual images of drivers and passengers, which are sometimes clear enough for network security investigators to confirm identities, according to DEA documents and people familiar with the program.” Earlier, the agency had held on to such embedded computer data for two years, but it says it now deletes it after three months.
The newspaper says it bases its account on interviews with government network security officials and on government documents, some supplied by the American Civil Liberties Union, which had obtained them under the Freedom of Information Act.
In scope and intent the embedded computer program resembles another recently uncovered surveillance program of the U.S. Marshalls Service, one that uses airplanes to scoop up information on cell phones across the country. Both the DEA and the Marshalls Service are part of the U.S. Justice Department.