Edge AI.
Why detection belongs on hardware you own, next to the camera.
Ask the model less
A new tracking paper reformulates a hard vision task as a yes or no question instead of free text generation. DHI's own alert verifier made the same bet, and the paper shows us the next step we have not taken.
Paying full price for every frame is a choice
Two independent papers published three days apart both argue for spending compute unevenly across a video stream instead of uniformly. DHI arrived at a coarser version of the same idea from an 8 GB memory budget.
When your verifier stops looking
A new paper finds vision-language models often answer without using the image evidence in front of them. That is a direct risk for any system, DHI's included, that uses a VLM as a verification gate.
A fab makes silicon, not a deployable edge system
Tesla and SpaceX are putting an initial 16.8 billion dollars into a Texas fab, partly for edge inference chips. One number in that announcement does not survive scrutiny, and the harder problem is not wafer supply anyway.
Our thermal model's evaluation was wrong twice before it told us the truth
A thermal perception backbone looked broken, then looked useless, then turned out to be neither. The bug was never in the model. It was in the test we used to judge it, and in a data pipeline that let RGB photos into a corpus we called thermal.
Who can turn your AI off?
In June 2026, the most powerful AI models on the market were gated, pulled, and partially reinstated by parties their customers don't control. For most software that's a policy story. For safety-critical systems, it's an ownership question.
Your "edge AI" might just be the cloud with extra steps
A cloud provider just discontinued its edge-vision product. Here's what it reveals about how most camera AI is really built, and the one question that separates real edge from rented edge.
Use the guide, then validate it on your cameras.
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The checklist is built for operators evaluating a live pilot in the next 30 days.
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Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.