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ECHO / PRODUCT · iOS AND ANDROID

BoardVision — Memory Chip Identification App

BoardVision is ECHO’s app for identifying memory chip markings, in development for iOS and Android. It brings a photo or camera input, reference matching and a result to review into one workflow. Its purpose is to help operators inspect desoldered memory chips during electronic scrap sorting, with the reference information kept close to the original image.

Write to us about BoardVision→
Internal BoardVision macOS prototype interface
Internal macOS prototype used to test the workflow. Select the image to enlarge.

Start with the chip marking

Load a chip photo or use the phone camera, then inspect the visible marking. A clear image gives you something to compare against the reference. Before relying on a result, check that the code being read matches the characters you can see on the chip.

If part of a marking is obscured or difficult to distinguish, keep that uncertainty in view. A closer image or another angle may be more useful than accepting an unclear code.

Compare the reference, then review the result

BoardVision compares the marking with reference data and presents information such as storage, RAM and verification status. The useful question is whether the reference corresponds to the chip in front of you.

Review the code, the matching reference and the status together before placing the chip in a sorting group. A matching entry is information to inspect; it should not turn a doubtful marking into a certainty.

What identification does not establish

A reference match does not establish that a chip works. BoardVision is not an electrical or functional tester. It also does not determine the metal yield of a chip or circuit board.

Those questions require their own methods. Keeping identification separate from condition and material recovery makes the result easier to interpret and helps prevent a reference lookup from being used beyond its purpose.

An app shaped around a real task

BoardVision is in development for iOS and Android. A phone camera makes it easier to read a chip where it is. We test the workflow with an internal macOS prototype, and the interface shown here comes from that prototype; public availability, pricing and a release date are not announced here.

If you sort memory chips, tell us where reading markings or comparing references slows your work. Describe the input, the information you need and how you handle uncertain results. That context makes a product conversation useful.

Validation status

We do not publish an accuracy rate for BoardVision yet. Until there are enough samples, we state only what we have and have not measured.

Real photo trial
10 October 2026, 4 chip codes. Run on the internal macOS prototype; this is not a statistical measurement.
Code reading
3 codes were read letter for letter. 1 worn code could not be read.
Reference matching
The 3 codes that were read are not in the list, so no correct match could be shown; the app said “no match” and did not guess.
Camera accuracy
Not measured yet.
Reference list
1,189 rows: the 1,185 rows of the source table plus 4 entries added from manufacturer documents. That is the difference between the two figures in our notes.
Source coverage
524 rows are backed by a manufacturer document. The other rows have no document beyond the source table.

BoardVision is still in development. Write to us for an early conversation or to share feedback from your own sorting work.