The PowerScan 9100 series of scanners has expanded with new technology that provides an innovative green scanning line that implements the definition of a laser and the benefits of a linear imager.
The 9100 series features 3 versions: a corded version (PD9130), a cordless version with Bluetooth® wireless technology (PBT9100), and a cordless version with Datalogic’s STAR Cordless System™ 2.0, a proprietary narrow band radio system (PM9100).
The PowerScan 9100 series has been tested to withstand extreme environmental conditions and is suitable for the most rugged and demanding settings. A built-in tether hook for the cordless models can be suspended in the workplace, ensuring workplace productivity. A quick 3-second battery replacement combined with a single or multi-slot battery charger allows for continuous operation without interruption (cordless models).
The 9100 series features multi-interface capabilities (RS-232, Keyboard Wedge, and USB), as well as Datalogic’s exclusive 3GL™ (3 Green Lights) for superior good-read feedback. The series is fully supported by Datalogic’s Aladdin™ configuration program, which provides a user-friendly interface for the start-up procedure and device programming.
The PowerScan 9100 series is outstanding for its reliability and reading performance on 1D codes. All of the devices in the series share these features.
The cordless PBT9100 and PM9100 scanners can also be mounted on a forklift with a Vehicle Mount Terminal (VMT), providing a complete solution for industrial warehouse applications.
Based on the Bluetooth 3.0 standard for wireless technology, the PowerScan PBT9100 scanner can be configured to be Class 1 or Class 2 compliant. The scanner can be connected to the host through the receiving base station, or by connecting the scanner directly to any commercial or embedded Bluetooth compliant device.
The PowerScan PM9100 series is available in a basic cordless model and in two different models with a display and 4- or 16-key keypads. This series satisfies customers’ needs with different models.
