Multispectral vision
Inspect bands and spectral signatures, classify materials or conditions, and combine spectral evidence with object detection when useful.
Explore spectral imaging →What we do
One vision practice, three ways to work
Start with the data and decisions that matter to your project. Use Studio to investigate and prototype; use the SDK and custom development to build an application for its operating environment.
Embedded vision
Design local camera pipelines for detection, segmentation, tracking, counting, and other application-specific tasks.
Explore edge solutions →Abraia Vision Studio
Work with image datasets, annotations, spectral analysis, model training, and pipeline previews in a desktop workbench.
See the product →The product
See more than an RGB image
Vision Studio supports standard, multispectral, and hyperspectral datasets. Inspect individual bands and signatures, view composites, and work with annotated objects before choosing a model.
Its pipeline view can combine an RGB detection stage with classification of the corresponding spectral crop. That gives teams a practical way to investigate what additional wavelengths contribute to a decision. See the Studio workflow.
From prototype to system
Develop for the environment where the vision system will run
A useful model is only part of a deployment. Camera and illumination choices, input formats, compute budget, latency, and how results are used all shape the solution.
Abraia provides a Python Vision SDK for inference and pipelines, including ONNX models and Hailo support for compatible workloads. Embedded integration is scoped to the hardware and use case. Explore embedded vision.
Applications
Explore the problems behind the technology
These pages show where the tools can be applied and what an initial project needs to establish.
Agriculture and produce
Investigate crop imagery, product grading, and spectral differences in produce.
Explore agriculture →Retail and visual search
Build image search or local people-flow analysis for a defined retail task.
Explore retail →Queue monitoring
Detect, track, and count people in a chosen camera view or region.
Explore queue monitoring →Bring your vision problem to us
Tell us about the images, sensor, operating environment, and decision you want the system to support. We can identify a practical first evaluation.