Blurry & low-res
Motion blur, focus miss, and legacy CCTV feeds common in parking and campuses.
Vision Lab · Logistics
ANPR that works in real Indian conditions
Accurate, fast, developer-friendly ALPR — optimized for blurry, dark, angled, and high-speed scenes. 99%+ accuracy on Indian plates, 50–100 ms snapshot inference, cloud or fully offline on-prem.
- Indian plates
- 99%+
- Inference
- 50–100 ms
- Coverage
- 90+ countries
- Deploy
- Cloud · Jetson · Pi
ALPR that works
Where traditional engines fail, Visive still reads
Glare, dirt, speed, stacked characters, regional fonts, and HSRP marks are everyday in India — not edge cases. Our models are tuned for them.
Angled plates
Extreme camera pitch and yaw at gates, gantries, and entry ramps.
Dark / night
Low light and IR scenes without sacrificing recall — including high-speed windows.
Multi-vehicle & two-row
Multiple plates in one frame, stacked characters, icons, and HSRP marks.
High speed
Highway and expressway capture windows.
Icons & HSRP
Plates with icons and high-security marks.
Regional fonts
State layouts and character styles across India.
Make · model · color
Vehicle attributes alongside the plate string.
Modes
Snapshot, Stream, and on-prem blur
Same recognition engine — pick the ingest path that matches your cameras and privacy rules.
Snapshot API
Still images in any format
Upload a frame; get plate text plus make, model, color, and classification. SDK samples in multiple languages; cloud ~200 ms, on-device SDK ~50 ms.
- Input: JPEG, PNG, and common camera stills
- Output: plate + vehicle attributes + confidence
- Developer-friendly SDK with continuous model updates
Stream mode
Live cameras, multi-cam capacity
Ingest RTSP or file video; detect vehicles and decode plates continuously. Process multiple cameras on a mid-range CPU; GPU edge devices unlock denser highway and yard grids.
- Linux and Windows (via Ubuntu) on-prem
- Webhooks, dashboard, and local processing when privacy requires it
- Runs offline once models are deployed
Beyond the plate
Make, model, color, and webhooks
Get vehicle region, brand, model, color, and classification alongside the plate string. Push events via webhooks, monitor a dashboard, and keep processing local when privacy requires it.
- Snapshot API (50–100 ms) and multi-camera stream mode
- On-prem on Raspberry Pi, Jetson, Windows, or Linux — offline capable
- 90+ countries/regions with locale-tuned models
Video
ANPR explainer
See Visive’s number-plate recognition in action — accurate, fast, and built for real-world cameras.
FAQ
ANPR questions
How accurate is Visive ANPR on Indian number plates?
We achieve 99%+ accuracy tuned for Indian plates, including stacked characters, regional fonts, icons, and HSRP. Performance holds across states and vehicle types.
Does it work in low light, blur, or harsh angles?
Yes. Deep learning models handle glare, motion blur, rain, dirt, extreme angles, and high-speed vehicles — day and night, including low-resolution cameras common in India.
Cloud or on-premise?
Both. Cloud for scale and updates; on-premise for privacy-sensitive or low-connectivity sites — operation without internet once models are deployed.
Do you detect make, model, and color?
Yes. Beyond plate reading, MMR and color detection enrich security, parking, and analytics applications.
Is multi-vehicle processing supported?
Absolutely. Multiple vehicles in one frame are processed accurately — suited to busy highways, parking lots, and gates.
Sample evaluation
Send us your hardest plate images
We’ll return accuracy on your cameras and recommend snapshot vs. stream. sales@visive.ai · +1 (442) 264-1012 · LA & Pune (BioEnable)