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Frequently Asked Questions
What are the key computing specifications of the Zebra GTX16000C Vision Camera?
The Zebra GTX16000C features an Intel Atom X6211E dual-core CPU with 4GB of memory and 32GB eMMC storage, delivering effective edge computing capabilities for machine vision workloads. This configuration enables the camera to handle both conventional image processing and deep learning inference tasks directly at the edge without requiring external processing infrastructure.
What vision software comes pre-loaded with the Zebra Iris GTX smart camera?
The Zebra GTX16000C comes pre-loaded with Aurora Design Assistant vision software and includes a partial license for Design Assistant and MIL (Machine Intelligence Library). This software suite enables users to develop and deploy both traditional machine vision applications and advanced deep learning models directly on the camera.
Is the Zebra GTX16000C suitable for harsh industrial environments?
Yes, the Zebra Iris GTX is specifically designed for challenging industrial conditions and confined spaces. The camera is dust-proof, immersion-resistant, and incredibly tough, making it ideal for grimy or harsh warehouse and manufacturing environments where standard cameras would fail.
What image resolution does the Zebra GTX16000C Vision Camera provide?
The Zebra GTX16000C features a color 4000x4000 sensor, delivering high-resolution image sensing capabilities that enable detailed inspection and analysis tasks in logistics, quality control, and automated identification applications.
What I/O capabilities does the Zebra GTX16000C offer for system integration?
The Zebra GTX16000C provides extensive I/O capabilities for seamless integration into existing warehouse and manufacturing systems. These edge IoT devices support multiple connectivity options to interface with barcode scanners, label printers, mobile computers, and other AIDC equipment available from us at barcodesinc.com.
What types of applications can the Zebra GTX16000C handle?
The Zebra GTX16000C is capable of handling both conventional machine vision workloads and advanced deep learning inference, making it suitable for applications such as automated quality inspection, barcode verification, object detection, and predictive maintenance in warehouse and logistics operations. Contact us today to discuss your specific vision application requirements.