Zebra G46278M Label Rewinder

The Zebra GTX8000 features a monochrome 4096x2160 high-resolution sensor, Intel Atom X6211E dual-core processor, 4GB of memory, and 32GB eMMC storage. It comes pre-loaded with Aurora Design Assistant run-time software and is partially licensed for Design Assistant and MIL, enabling both traditional machine vision and deep learning inference capabilities at the edge.

Yes, the GTX8000 is specifically designed for demanding industrial settings with dust-proof and immersion-resistant construction, making it incredibly tough and reliable in grimy environments. Its rugged design allows it to operate effectively in confined spaces where standard cameras would fail, providing consistent performance in harsh conditions.

The GTX8000 comes pre-loaded with Aurora Design Assistant run-time, which enables users to deploy both conventional machine vision workloads and advanced deep learning inference directly on the device. The camera includes partial licensing for Design Assistant and MIL (Machine Intelligence Library), giving you immediate capability for complex image analysis tasks.

The GTX8000 is ideal for quality control, defect detection, barcode verification, object recognition, and deep learning-based inspection tasks in manufacturing and logistics environments. Its edge computing capabilities and high-resolution imaging make it suitable for automated visual inspection, package sorting, and real-time anomaly detection in warehouse and production settings.

The Zebra GTX8000 provides extensive I/O capabilities for integration into existing industrial systems and networks. Its edge IoT architecture enables seamless connectivity with warehouse management systems, PLCs, and cloud platforms, making it adaptable to various deployment scenarios in automated facilities.

The Intel Atom X6211E dual-core processor delivers effective computing power for real-time image processing and deep learning inference without requiring external servers or cloud connectivity. This integrated edge computing approach reduces latency, lowers bandwidth requirements, and enables autonomous decision-making directly at the point of capture.