Datalogic BC2030-WH-BT cradle, white

Product description

The Datalogic BC2030-WH-BT is a professional charging and communication cradle designed specifically for handheld barcode scanners from the QBT series. This accessory is used for convenient storage, charging, and data transfer from your scanner to a computer or point-of-sale system. Thanks to its elegant white design, it blends harmoniously into a modern work environment, whether in an e-commerce warehouse, at the checkout, or in a logistics center.

Multiple interfaces for maximum flexibility

One of the key advantages of the BC2030 model is its multi-interface function. The dock supports several connection standards, allowing you to customize your configuration according to the specific needs of your IT environment. Supported interfaces include:

• RS232: Ideal for older POS systems and specialized industrial applications that require a serial connection.
• KBW (Keyboard Wedge): Simulates keyboard input, enabling easy data entry directly into standard applications without the need for special drivers.
• USB: A modern and universal interface for connecting to laptops, desktop PCs, and newer POS terminals.

Compatibility and practical use

This stand is fully compatible with popular Datalogic scanner models, specifically the QBT2400 and QBT2100. Ensures stable contact with the scanner's charging contacts, preventing interruptions in charging during normal use. The dock is an ideal solution for teams that use multiple readers and need to quickly charge them and switch them between each other without having to handle individual cables for each device.

Important notice

For full functionality, it is necessary to separately purchase the appropriate connection cable and power adapter, which are not included in the package. We recommend selecting a cable that matches your preferred interface (USB, RS232, or KBW) and a power supply with a corresponding output. Investing in a quality cradle extends the life of your scanner battery and increases the overall efficiency of working with data.