From FPGA Specialists to Systems Engineers
Concurrent EDA’s engineering work has always centered on FPGA design, but the scope of that work has broadened considerably. Rather than focusing narrowly on chip-level logic, the team now approaches most projects as full system designs, accounting for everything that happens before and after data reaches the FPGA.
Everything Before the Chip Matters
A finished image is the result of a long chain of physical and optical decisions: the light source used to illuminate a subject, how that light reflects or scatters off the surface being imaged, the lens that focuses it, and the sensor that converts it into data. Each of these choices affects image quality and what information can ultimately be extracted from it. Treating that entire chain as part of the design problem, rather than starting the analysis at the sensor, is central to a systems engineering approach.
More Design Paths, Evaluated in Parallel
AI tools have expanded how many design directions a team can realistically evaluate before committing to one. Where a project might once have moved forward with the first viable approach, engineers can now model and compare a wider set of options in a fraction of the time. That has also changed how customer engagements typically start: rather than selecting from a predefined camera configuration, a customer can describe the underlying problem and let the engineering team explore multiple ways to solve it.
For those looking to solve high-speed applications faster, that difference shows up as a better-fit solution delivered faster: instead of adapting your application to whatever a stock camera offers, Concurrent EDA can model several approaches against your actual requirements and recommend the one that fits.
Have a system-level problem rather than a defined chip spec? Contact Concurrent EDA to talk through your idea.
Watch the full "Manufacturing Matters" podcast episode with Ray Hoare here.
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