Volumetric Imaging & Augmented Reality Solutions

Gidel provides a modular FPGA-based vision infrastructure designed to support real-time volumetric imaging and augmented reality applications. These systems enable synchronized capture and processing of data from multiple cameras. As a result, they can reconstruct three-dimensional scenes with high accuracy, low latency, and deterministic performance.

Volumetric imaging places unique demands on vision architectures. In particular, multi-camera synchronization, sustained high bandwidth, and real-time processing must operate predictably. Otherwise, accurate 3D reconstruction and stable augmented reality overlays cannot be achieved. As system complexity grows, software-centric approaches often struggle to scale.

Hardware Platforms for Volumetric Imaging & AR

Gidel supports volumetric imaging system design with a portfolio of modular hardware building blocks. These offerings allow system integrators to tailor acquisition, processing, and deployment to the needs of each 3D capture and AR pipeline.

A key component is Gidel’s InfiniVision multi-camera vision system. It enables deterministic grabbing and synchronization across large-scale camera arrays, including configurations exceeding 100 cameras.

Depending on system requirements, developers can select from:

• High-Performance Frame Grabbers: For deterministic multi-camera acquisition.
• Mini Jetson Frame Grabbers: Combining Altera FPGA’s and NVIDIA Jetson Orin NX for integrated processing at the source.
• Scalable FPGA Modules: For ultra-compact designs and deep customization.

Real-Time FPGA Image Processing & Compression

All FPGA processing runs inline to preserve low latency and predictable timing. This ensures image quality remains consistent across all views, which is essential for accurate volumetric alignment.

Standard Processing Capabilities:

• Debayering, White Balance, and Gamma Correction.
• Non-Uniformity Correction (NUC) and Bad Pixel Correction (BPC).
• Dynamic Luminance Balancing and Real-Time HDR for mixed lighting.

Bandwidth Optimization:
To optimize storage, the FPGA supports real-time data reduction using JPEG, Lossless, and Quality+ compression, alongside region-of-interest extraction and scaling.

High-Resolution Imaging with Deterministic Performance

Volumetric imaging applications increasingly rely on high-resolution sensors to enable fine spatial detail and precise depth estimation. Gidel’s FPGA-based architecture handles these high-resolution workflows without introducing additional latency or timing jitter.

By combining inline processing with deterministic data handling, the system maintains stable performance as image resolution and processing complexity increase.

High-Bandwidth Recording Solutions

Many volumetric imaging workflows require reliable recording of multi-camera streams for offline 3D reconstruction, algorithm validation, and post-session analysis. To address these needs, Gidel provides dedicated Recording Solutions.

These recording platforms integrate with Gidel’s architecture to capture and store image streams deterministically, without disrupting real-time processing. As a result, volumetric imaging systems can support both live operation and high-quality offline reconstruction.

Development Tools and Customization for volumetric imaging

Development is supported through Gidel’s Software Development Tools. These tools enable developers to design, integrate, and optimize FPGA-based imaging pipelines. They provide fine-grained control over latency, data flow, and processing behavior, which is critical for advanced volumetric imaging and augmented reality systems.

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