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X2000 Vision Processor
$25,000 - Connect up to 8 GigE cameras
The X2000 Vision Processor is a powerful industrial PC, capable of advanced neural network image detection. It integrates an NVIDIA GPU and 32GB of DDR5 RAM, enabling the execution of advanced deep learning algorithms for real-time image analysis and pass/fail inspections on multiple cameras at once.
The X2000 MultiCam Server natively supports Allied Vision USB and GigE cameras, with additional USB and GigE camera support available on request. It is accessible via a browser interface, simplifying setup and use. The X2000 MultiCam Server can be modified to support 2-8 cameras, ranging from 1.6 MP to 25 MP, depending on the use case and camera configuration.
AI-Powered Processing
Embedded NVIDIA™ GPU + CPU for real-time analysis
Built-in Deep Learning
All Vision Processing takes place on-server
Control Panel Mount
Fanless, rugged construction for industrial environments
Searchable Image History
4TB storage for traceability by date and serial number
PLC Connectivity
PLC Integration + Built-in GigE/USB Camera support
Multiple Cameras
The X2000 MultiCam Server supports seamless multi-camera configurations, handling up to 8 cameras simultaneously. Whether using GigE or USB connections, the system is optimized for complex setups where multiple inspection points or views are essential. Operators can monitor and control each camera from a centralized interface, simplifying configuration and ensuring consistency across all connected cameras.
Multiple Jobs
The X2000 allows users to run multiple jobs across up to eight cameras, cycling through one camera at a time. Configure each camera to perform the same job for multiple inspection points or assign unique jobs to each camera .
The X2000 MultiCam Server includes flexible PLC communication and GigE/USB camera support, providing a turnkey solution for your industrial vision needs. We partner closely with production teams to ensure uptime and consistency, offering lifetime support for every system.
Service First
For additional questions, contact support@deepviewai.com
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