AI Video Analytics for Vehicles and License Plate Recognition
Entry/exit control, license plate recognition (CRNN + CTC), vehicle monitoring, white/black lists, checkpoint and parking integration.
Key facts
License plate recognition
CRNN (CNN + BiLSTM + CTC) trained on Russian plates with Cyrillic (АВЕКМНОРСТУХ). Multi-frame stabilization, plate accuracy 95%+.
Vehicle detection & classification
YOLOv26: cars, trucks, buses, motorcycles. ONNX/TensorRT inference for realtime edge deployment.
Entry/exit tracking
Automated line-crossing detection with plate number, vehicle type, direction, and timestamp.
White/black lists
Instant plate check against access databases. Automatic barrier, REST API webhook, or MQTT alert on violation.
FAQ
RTSP/IP cameras (Hikvision, Dahua, ONVIF), USB cameras, video files (MP4, AVI), YouTube streams.
CRNN + CTC stabilizes results across multiple frames, supports Cyrillic, logs to CSV. Plate accuracy 95%+ on a 4,891-image validation set.
Yes, CRNN + CTC architecture is universal for OCR sequences. Replace the alphabet and fine-tune on new data.
Up to 16 RTSP streams at 15 FPS on a single GPU (TensorRT). Horizontal scaling by adding nodes.
Limitations and when it may not fit
OCR quality depends on camera resolution, shooting angle, lighting, and plate condition.
Dirty, damaged, or non-standard plates reduce accuracy. Manual verification available via dashboard.
Realtime processing requires an NVIDIA GPU (CUDA). CPU is limited to batch file processing.
Vehicle control — manual logging, missed cars, no analytics
At parking lots, checkpoints, and warehouse territories, entry/exit is tracked manually or with simple sensors without plate recognition. Non-standard plates, operator errors, and absent fleet tracking lead to losses and uncontrolled access.
Blacklists checked by eye, visit logs on paper, reports compiled over days. YOLOv26 + CRNN automate the entire pipeline: from detection to realtime alerts.
How it works
Install cameras at checkpoints
RTSP/IP cameras (Hikvision, Dahua, ONVIF) at entry/exit points. Setup in minutes.
Configure lists and rules
Whitelist for authorized vehicles, blacklist for unwanted, automatic barrier, webhook notifications.
YOLOv26 + CRNN recognize vehicles and plates
YOLOv26 detects vehicles, CRNN (CNN + BiLSTM + CTC) reads plates with Cyrillic. TensorRT accelerates inference.
Get analytics and integrations
Entry/exit journal, fleet tracking, plate statistics, REST API for barriers, 1C and CRM integration.
Architecture Pipeline
Camera (RTSP / ONVIF)
↓
YOLOv26 Detection + Tracking (ONNX / TensorRT)
↓
CRNN OCR (CNN + BiLSTM + CTC)
↓
Event Engine (entry/exit, whitelist/blacklist, speed)
↓
Dashboard / REST API / Webhooks / MQTT / Telegram
Integrations
RTSP / IP cameras
Hikvision, Dahua, ONVIF-compatible. Connect any manufacturer.
Barriers & PACS
Automatic opening by whitelist. Integration via REST API or relay.
1C and CRM
Export journals, plate database sync, subscription reports.
Telegram / Webhooks
Realtime notifications on blacklist violations, entry/exit, and anomalies.
REST API
Full access to events, recognized plates, and analytics for custom integrations.
MQTT
Lightweight protocol for IoT integrations and edge devices.
ONNX / TensorRT
Inference optimization for GPU acceleration and edge deployment.
CSV / Database
Full logging of recognized plates and events for analytics and audit.
Features
License plate recognition (LPR)
CRNN + CTC for Russian plates with Cyrillic. Multi-frame stabilization, CSV logging. Plate accuracy 95%+.
Vehicle classification
YOLOv26: cars, trucks, buses, motorcycles. Confidence score + tracking per object.
Entry / exit
Automated crossing detection with plate number, vehicle type, direction, and timestamp.
White/black lists
Instant access check. Auto-open barrier for authorized, realtime alert for blacklisted.
Fleet tracking
Track fleet vehicles across the territory, monitor routes, measure on-site time.
Vehicle counting
Count vehicles by direction, parking occupancy statistics, peak hour analytics.
Speed estimation
Estimate vehicle speed on monitored sections. Detect speeding with plate reference.
Parking occupancy
Real-time monitoring of occupied/free spaces. Integration with displays and navigation.
Where it's used
Parking systems — plate recognition, automatic barriers, occupancy monitoring, speed estimation.
Residential complexes — access control, resident whitelist, visit logs, 1C integration.
Logistics and warehouses — fleet tracking, entry/exit logging, delivery control, vehicle classification.
Checkpoints and industrial — blacklist/whitelist, PACS integration, MQTT for edge, territory security.
Transport and roads — traffic counting, speed estimation, violation recording, peak load analytics.
Dangerous zones — vehicle access control in restricted areas, realtime perimeter violation alerts.
Interested in practical LPR experience?
We can show you how YOLOv26 + CRNN recognize plates, track entry/exit, and manage whitelist/blacklist on real RTSP streams.
Connect on Telegram →