Back to the registry
Agent passport

Vehicle Category Recognition API

SC DE VIS SOFTWARE SRL · Software Development

SaaSNo attestation published

Certification per Microsoft Marketplace.

vehicles categories detection apivehicle type detection api
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 9 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.

Vehicle Category Recognition API - VehicleCRA (also known as vehicles categories detection API) is a cross browsers REST API which get a JSON input with a still photo (as base64 encoded string) or an url of the image and returns a JSON string which contains predictions with certain amount of probability (filtered for output with minimum 20%), bounding boxes of detected vehicle category(ies) with its top, left, width, height values and, if required, for each prediction, a boundingBoxPhoto as base64 encoded string of the detected vehicles categories. Also it outputs a base64 encoded string photo which is the original input photo with drawned bounding boxes upon it. For one still photo the API may return multiple predictions with different probability scores of detected vehicles categories. Our pricing packages count the predictions, so for one request, multiple predictions may be counted. We filter the results of predictions so we display only the predictions with a probability score higher than 20%. 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 target vehicles may fill an important space in the input photo as you see in the example below. We do not store pictures. Also, the quality and the angles of the camera (30 degrees for side camera) are very important and it contribute to a higher detecting accuracy. It should have varifocal lenses, high shutter speed, good infrared lighting beam, full HD resolution.

Allthough this Vehicle Category Detection API (currently we do not offer a face vehicle category recognition sdk) is intended for software development and therefore developers, we have also here an vehicle category detector online application that may be used to check the input and output JSONs of the API.

Show the rest of the publisher’s description (2 more lines)

The necessary steps are written below, basically for this real time vehicle category detection or recognition 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.

This Vehicles Categories Recognition API is useful for a large number of domains like: checking private entrances in parkings for restaurants, malls, close spaces, airports, bus stations, railway stations, traffic control for each category of vehicles 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

1 image
Vehicle Category Recognition API preview 1

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

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

Publisher resources

6 links
Vehicle Category Recognition APIcatalogartifact.azureedge.netSource
Register New Accountwww.de-vis-software.roSource
Sample Source Codeswww.de-vis-software.roSource
Vehicle Category Recognition 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=vcr#contact
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.