Abraia Editing helps teams resize, crop, convert, and brand images and videos
for ecommerce, websites, email, and social media. Create consistent versions for different channels
from one editing workflow.
Abraia Vision Studio for multispectral and embedded vision
Use Vision Studio to explore standard, multispectral, and hyperspectral
datasets, inspect spectral bands, annotate images, train suitable models, and prototype vision pipelines.
For embedded deployment, the Abraia Vision SDK provides tools to
build and validate pipelines on target hardware.
When RGB images do not separate the materials or conditions you need to detect, spectral bands can provide
additional evidence. Studio workflows depend on the sensor data and annotations; evaluate with representative
samples before choosing a model or deployment target. Explore the
Vision SDK for application development.
From multispectral data to embedded vision
Move from exploring sensor data to testing a vision workflow on the hardware where it will run. A practical
evaluation can follow three steps:
Evaluate representative data. Start with samples from the sensor, lighting, and
operating conditions you expect in the field.
Analyze and prototype in Vision Studio. Inspect spectral bands, annotate examples,
and test an appropriate model or pipeline for your dataset.
Validate on the target device. Use the Abraia Vision SDK
to run and assess the workflow with the intended camera and supported hardware.
Results depend on the sensor, data quality, model, and target device. Testing representative samples on
the deployment hardware helps establish whether the approach fits your application.
Apple detection on a portable Raspberry Pi 5 and Hailo prototype.
Abraia brings together media editing tools and applied computer vision for teams working with images,
video, and camera data.
Our editing workflows help ecommerce and marketing teams prepare consistent media variants. Abraia Vision
supports projects from multispectral analysis and model evaluation to embedded deployment.
Tell us about your media, sensor, operating environment, and intended outcome. We can help identify a
practical workflow and plan an initial evaluation for your editing or computer vision project.