In the era of edge intelligence, cameras are more than just eyes—they're the front-line sensors enabling machines to perceive, understand, and act in real-world environments. Whether it’s drones surveying a construction site, robots navigating factories, or surveillance systems monitoring vast areas, the ability to process multi-camera feeds in real time is essential.
This is where JetCore, a powerful and compact carrier board developed by VECROS, plays a vital role.
The Challenge: Multi-Camera Processing at the Edge
Using multiple cameras increases visibility, depth perception, and redundancy. However, it also introduces significant challenges:
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High data bandwidth requirements
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Complex synchronization and timing
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Real-time inference and decision-making
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Integration with additional sensors and control systems
Most embedded systems struggle to meet these demands without compromising on performance or reliability. JetCore was built to tackle this head-on.
Meet JetCore: Built for Vision-Centric AI at the Edge
JetCore is a carrier board purpose-built to unlock the full potential of NVIDIA Jetson Xavier NX, Orin NX, and Orin Nano compute modules. While Jetson provides the AI muscle, JetCore delivers the infrastructure—the robust, real-time-ready architecture that enables true multi-camera processing at the edge.
What JetCore Brings to the Table:
🧠 Modular Camera Interface
JetCore supports multiple MIPI CSI lanes and USB 3.0 ports, allowing developers to connect a variety of camera modules, including stereo, RGB, IR, and depth sensors. With validated support for multiple cameras up to 6, JetCore is ideal for:
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360° vision systems
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Stereo depth perception
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AI-powered multi-angle analysis
⚡ Stable High-Performance I/O
Real-time vision tasks require low-latency data flow. JetCore features:
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Gigabit Ethernet for high-speed network communication
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UART, CAN, PWM, and GPIO for sensor fusion and real-world actuation
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Power-optimized design to maintain stable operation during sustained GPU workloads
These ensure smooth data transmission across the board, even when multiple high-resolution camera streams are active.
🎯 Sensor Synchronization Support
JetCore’s versatile I/O suite allows integration of IMUs, GPS, LiDAR, and other peripherals. This supports synchronized data acquisition across visual and inertial systems—critical for applications like:
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SLAM (Simultaneous Localization and Mapping)
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Visual-inertial odometry
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Precision robotics navigation
🧱 Compact and Deployment-Ready
Designed for real-world environments, JetCore’s industrial-grade form factor, vibration-resistant layout, and powerful connector options make it ideal for drones, robots, and autonomous systems where space, weight, and durability matter.
From Vision to Action: The Processing Pipeline with JetCore
1. Camera Feed Ingestion
JetCore accepts multiple video streams through USB 3.0 or MIPI CSI, efficiently routed and stabilized through its high-speed layout design.
2. Edge Inference via Jetson + JetCore
Once on board, these feeds are processed by the Jetson module—optimized for deep learning inference. JetCore’s power delivery and thermal performance ensure that the Jetson runs at peak efficiency for:
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Object detection
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Semantic segmentation
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Depth estimation
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Activity recognition
3. Sensor Fusion & Control Loop
JetCore connects camera data with other system inputs—IMUs, GPS, CAN-connected sensors—allowing the system to not only "see" but also "understand" its position and context. This fused data can be looped back into actuators or sent upstream via Ethernet.
4. Real-Time Decision Making
Whether it’s avoiding an obstacle, tracking a moving object, or mapping a warehouse in 3D, JetCore helps deliver actionable decisions from raw image data—onboard, in real time, without cloud latency.
Real-World Use Cases
🚁 Aerial Robotics
Multi-angle camera setups on drones require real-time processing for obstacle avoidance, landing zone identification, and visual mapping. JetCore provides the backbone to connect these feeds and process them with stability and precision.
🦾 Mobile Robots
In factories and warehouses, AMRs (Autonomous Mobile Robots) use multiple cameras for navigation and detection. JetCore’s reliable I/O and synchronized data handling ensure smooth operation around the clock.
🎥 Surveillance and Monitoring
From traffic monitoring to perimeter security, JetCore enables smart surveillance systems to analyze video streams locally, flagging anomalies and reducing the need for constant human monitoring.
Why JetCore Makes a Difference
| Feature | How It Helps |
|---|---|
| Multi-camera support | Enables stereo/depth or surround vision |
| Optimized power and thermal design | Maintains real-time performance under load |
| Industrial-ready form factor | Reliable in drones, robots, and edge deployments |
| Rich I/O interfaces | Fuses camera data with sensors and controls |
| Developer-friendly | Pre-validated with cameras, sensors, and Jetson SDKs |
Conclusion: More Than a Carrier Board
JetCore doesn’t just hold a Jetson module—it empowers it. It’s the layer that transforms an AI computer into a deployable, real-world system capable of taking in visual data and responding in milliseconds.
From capturing pixels to making split-second decisions in autonomous applications, JetCore is the essential link between vision and action.
🚀 Ready to accelerate your multi-camera AI system?
Check out JetCore on our website or reach out to our team to discuss your application.
