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Dirty Solar Panel Detection API

SC DE VIS SOFTWARE SRL · Software Development

SaaSNo attestation published

Certification per Microsoft Marketplace.

dirty solar panels recognition apidirty solar panel detector api
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 6 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Dirty Solar Panel Detection API - Dirtyspdet (also known as Dirty Solar Panel Recognition API or Dirty Solar Panel Detector API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string), containing close-up solar panels and returns a JSON string which contains predictions of the input photo regarding the probability of Dirty Solar Panel. The recognized Dirty Solar Panel have confidence score, timestamp, tagId, tagName. Of course, there are some limitations in order to get a higher accuracy. We recommend properly exposed, unobstructed JPEG photos at 1920x1080 (full HD resolution) where the Dirty Solar Panel is clear and focused. If the Dirty Solar Panel details are too small or blured, the accuracy is lower and the AI algorithm may not classify in a proper way. We do not store pictures. Also, the quality and the angles of the camera are very important and it contribute to a higher reading accuracy. It should has varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.

Allthough this Automatic Dirty Solar Panel Detection API (currently we do not offer a Dirty Solar Panel Detection sdk) is intended for software development and therefore developers, we have also here an Dirty Solar Panel Detection online application that may be used to check the input and output JSONs of the API. The necessary steps are written below, basically for this real time Dirty Solar Panel Detection API you send an authorized POST request in JSON format to the API endpoint and you get as JSON response the output as described below through parameters and examples.

Show the rest of the publisher’s description (1 more line)

This Dirty Solar Panel Detection API is useful for domains like apps for: solar panel energy, cleaning solar panels etc. You own the commercial copyright of the resulted JSON with no additional fee meaning you may use it in your own apps for sale.

Preview

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Dirty Solar Panel Detection API preview 1

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource
License TermsLicense TermsSource

Publisher resources

6 links
Dirty Solar Panel Detection APIcatalogartifact.azureedge.netSource
Sample Source Codeswww.de-vis-software.roSource
Register A New Accountwww.de-vis-software.roSource
Dirty Solar Panel Detection APIwww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://www.de-vis-software.ro/privacypolicy.html?roa=dsp
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