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The future of industrial automation lies in robust, intelligent, and fast systems. SINTRONES Technology and Stereolabs have joined forces to turn this vision into reality. By integrating rugged computing platforms with advanced stereo cameras, they offer a groundbreaking solution for real-time depth sensing in autonomous systems.
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đź’ˇ Why is This Integration Important?
Industrial automation, autonomous vehicles, and defense applications require continuous real-time spatial awareness in challenging and dynamic environments. Standard computing systems and optical sensors often fall short when exposed to extreme temperatures, mechanical vibrations, and moisture. To overcome these operational challenges, SINTRONES Technology Corp. and Stereolabs have combined their expertise in hardware ruggedization and advanced spatial sensing to develop a unified edge AI vision system.
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⚙️ Technical Solution and Architectural Details
This innovative architecture combines the SINTRONES IBOX-650P-IP66-2S/DIO edge computer with Stereolabs ZED X and ZED X One cameras. The central processing is provided by the NVIDIA Jetson AGX Orin module. This module delivers up to 275 TOPS (Trillion Operations Per Second) of AI performance for localized inference and processing of navigation data.
[]Sintrones Computing Infrastructure: The IBOX platform offers a fanless, IP66-rated enclosure. This protects internal electronics from dust and high-pressure water jets while ensuring thermal dissipation without external air exchange.
[]Stereolabs Sensor Integration: Spatial data collection relies on the ZED X stereo camera for high-precision depth sensing and 3D perception. It features internal auto-calibration to maintain measurement accuracy during physical shocks. For high-speed motion tracking, the ZED X One global shutter camera captures blur-free images in vibration-prone environments.
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🚀 Application Areas and Objectives
This combined digital infrastructure is designed for immediate integration into autonomous mobile systems, heavy robots, and intelligent surveillance setups. The system can be installed directly on mobile platforms by interfacing with existing vehicle control networks via dedicated digital input/output (DIO) lines.
The primary deployment use case involves vehicle navigation and threat localization. Here, Stereolabs cameras feed raw spatial data directly to the Jetson platform. The local AI model instantly processes this data to calculate obstacle distances and coordinate paths. This eliminates the latency and security risks of cloud-based processing. This localized architecture minimizes external network dependencies, enhancing process stability and sustainability.
This integrated vision solution will be showcased from June 15-19, 2026, in Paris,


















