License Plate Recognition
TENSORGO TECHNOLOGIES PRIVATE LIMITED · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
LPR serves as Optical Character Recognition (OCR), detecting the vehicle and its license plate to extract the license plate number of the vehicles in the move over a time.
The process uses multiple deep neural networks to detect and identify vehicle license plate, Given the generality of traffic cameras and toll plaza cameras, license plate recognition (LPR) may seem pretty straightforward, just by taking the video source, analysing and then processing it with multiple deep neural networks to fetch the license plate from numerous vehicles while maintaining the accuracy levels is a challenging task. At TensorGo, we solve problems with our SOTA techniques.
Show the rest of the publisher’s description (3 more lines)
The extraction of the license plate can be deployed on a large scale, where it plays a very vital role in mass surveillance to track and detect repeated offenders.This system can be automated by ingesting the video feed from traffic cameras, public security cameras, toll plaza cameras and analyse all the license plates in matter of seconds.This will be a very efficient for the law enforcement authorities while bringing governance in to the system. With the rapid development and expansion of the cities and its road network, only automation can track and enable law enforcement to track traffic offenders using license plate recognition (LPR).
Use Cases
Detecting Vehicle Types, License Plate Detection, Parking Zones, Law Enforcements etc.,
Preview
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Agent build and provenance
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Compliance
- 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.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
5 linksLinked repositories
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