Geo F2 'pill bottle' Tracker

FreightWatch Security Net, a provider of embedded cargo and portable surveillance tracking solutions, has received FCC 47 CFR Part 15, Subpart B certification for its Geo F2 'Pill Bottle' location tracker, the first commercial-class Qualcomm inGeo platform-based product
February 3, 2012 Read time: 1 min
2211 FreightWatch Security Net, a provider of embedded cargo and portable surveillance tracking solutions, has received FCC 47 CFR Part 15, Subpart B certification for its Geo F2 'Pill Bottle' location tracker, the first commercial-class 213 Qualcomm inGeo platform-based product.

The Geo F2 is an industrial strength, assisted-GPS tracking product incorporating Qualcomm QSC6055 module technology. With a small pig-tail battery option attached, it can be hidden in a pill bottle, or equally small enclosure, enabling a variety of new covert tracking solutions. With a large-capacity lithium-polymer battery option, the Geo F2 unit can also be deployed in rapid reporting, law enforcement surveillance situations or long-term (more than a year) remote asset location assurance applications.

Combined with the optional integrated Zigbee radio receiver, the Geo F2 becomes a remote, battery-powered sensor data collection and transmission platform.
Location Based Systems

For more information on companies in this article

Related Content

  • Are we nearly there yet? The rise and rise of AI in WiM
    June 4, 2025
    The technology of artificial intelligence has moved on quickly since ITS International last asked the Weigh in Motion community in 2022 - so how is AI used in the WiM sector now? We asked four experts...
    Read More
  • Vision Components’ ANPR library identifies damaged plates
    October 29, 2014
    Vision Components’ Carrida software engine is a powerful OEM Library, which is easy to integrate into existing security and surveillance applications, including access control, toll control and traffic analysis. The high-performance, hardware-independent software tool assures reliable high speed recognition of vehicle number plates. With a typical processing time of 30ms and a recognition accuracy of more than 96%, the ALPR/ ANPR library precisely and reliably identifies number plates, even if dirty, dam
    Read More
  • Communication: the future of machine vision
    May 30, 2013
    Jason Barnes asks leading machine vision industry figures what they consider to be the educational barriers to the technology’s increased uptake by the ITS sector. The recent rush by some organisations within the ITS sector to associate themselves with the term ‘machine vision’ underlines just how important the technology has become in a relatively short space of time. However, despite the technology having been applied in certain traffic management applications for some years, there remains a significant s
    Read More
  • Stantec to deploy micromobility hubs 
    February 19, 2021
    Swiftmile hubs are expected to help AVs navigate complex urban environments
    Read More

Highlighted Content