URBAN MOBILITY & TRANSPORTATION AI

ANPR & Vehicle Classification Without Road In-Pavement Sensors

Extract traffic intelligence from existing street CCTV cameras. Reads license plates, categorizes 5 vehicle classes, detects illegal parking, and computes intersection V/C ratios without tearing up asphalt for inductive wire loops.

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Visualisasi ANPR dan Traffic Analytics LIHAT.id
ANPR ENGINE: 98.4% OCR ACCURACY
Indonesian Vehicle Profile AI

Optical OCR Calibrated for All Plate Categories

Unlike foreign software that struggles with Indonesian alphanumeric spacing, LIHAT.id is purpose-trained on local formats: standard private white/black plates, commercial yellow plates, and government red plates.

Multi-lane simultaneous OCR up to 90 km/h
5 vehicle classes categorization for toll & urban surveys
Direct integration with municipal ATCS traffic signals

Traffic Vision Capabilities

Modular features designed for transport departments, highway operators, commercial ports, and gated industrial parks.

ANPR & Plate Recognition

Extracts plate text, vehicle color, and vehicle brand from moving traffic. Automatically matches blacklists and unauthorized access lists.

Volume & V/C Ratio Analytics

Replaces manual roadside survey counters with automated passenger car unit (pcu/hr) counts, average speed profiling, and density charts.

Traffic Infraction Detection

Autonomous capture of wrong-way movement, illegal shoulder stopping, and unhelmeted motorcyclists paired with time-stamped visual proof.

Technical Specifications: Smart City Vision

Engineered to interface natively with city command center dashboards, video encoders, and intelligent transport platforms.

Technical ParameterSpecification & Standard
License Plate Standards (ANPR)White plates, Black plates, Yellow commercial plates, Red government plates
Maximum Vehicle VelocityCalibrated precision up to 90 km/h at 15° to 35° camera pitch angles
Vehicle Classification ClassesMotorcycles (MC), Passenger Cars (LV), Buses (BUS), Light Trucks (LT), Heavy Multi-axle Trailers (HT)
Traffic Infraction DetectionWrong-way movement, illegal shoulder parking, unhelmeted riders, yellow box violations
Traffic Analytics MetricsTraffic Volume (pcu/hr), Average Speed, Headway, Density, V/C Ratios
Camera CompatibilityFixed bullet & PTZ CCTV cameras (min 1080p, 25 FPS, RTSP/ONVIF compliant)
Command Center IntegrationGeoJSON Web Dashboards, REST API, MQTT Broker, native push to municipal ATCS systems

Modernize Your City & Facility Traffic Today

Request a technical demo on your existing traffic camera feeds to benchmark ANPR accuracy and vehicle classification.

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