Visual intelligence for embedded systems
Turn camera and image data into useful product behavior. ESL brings computer vision, embedded software and hardware integration together for real-world applications.
Discuss a vision projectFrom pixels to product insight
Vision systems must account for their cameras, compute platform, environment and response time. We shape the software around those practical constraints.
Extract useful detail from still images and camera streams to support automated checks and consistent product workflows.
Build vision pipelines that identify relevant objects, categorize visual inputs and follow movement across video frames.
Integrate vision workloads with embedded hardware and software so analysis can happen close to the camera and the product.
A system-level approach
We develop the vision pipeline in the context of the complete device, using representative data and target hardware to guide engineering choices.
Clarify the visual task, input sources, operating environment and response the product needs to deliver.
Select and integrate image-processing or machine-learning components suited to the data and embedded platform.
Test with representative images and video on the intended hardware, then refine behavior, performance and integration.
Have a camera-based product in mind?
