Indonesia Vehicle Analysis & License Plate Recognition API

ARSA Indonesia Vehicle Analysis & License Plate Recognition (LPR) API provides comprehensive vehicle intelligence optimized for Indonesian roads. Detect vehicles, read license plates, classify vehicle types, and identify colors – all in a single API call.

CORE CAPABILITIES

License Plate Recognition (LPR)
– Accurate Indonesian license plate number extraction
– Optimized for Indonesian plate formats and fonts
– Works with standard plates, special plates, and temporary plates
– High accuracy even with partially obscured or angled plates

Vehicle Detection & Localization
– Precise bounding box coordinates for each detected vehicle
– Normalized coordinates (0-1 scale) relative to image dimensions
– x1, y1 (top-left) and x2, y2 (bottom-right) corner coordinates
– Multi-vehicle processing in single image

Vehicle Type Classification
– Accurately identifies vehicle categories:
– Cars
– Motorcycles
– Trucks
– Bus
– Optimized for Indonesian vehicle types and models

Vehicle Color Detection
– Automatic color identification:
– Black
– White
– Red
– Blue
– Green
– Yellow
– And more
– Accurate color detection in various lighting conditions

PERFECT FOR

Parking Management
– Automated entry/exit logging with license plate tracking
– Payment system integration
– Parking space monitoring and analytics
– Violation detection and enforcement

Traffic Monitoring
– Vehicle counting and traffic flow analysis
– Speed enforcement integration
– Lane occupancy monitoring
– Traffic pattern analysis

Security & Access Control
– Authorized vehicle verification
– Residential/commercial complex access control
– Blacklist/whitelist checking
– Time-based access management

Law Enforcement
– License plate verification and tracking
– Stolen vehicle detection
– Traffic violation documentation
– Evidence collection and analysis

Toll & Highway Systems
– Electronic toll collection (ETC) integration
– Vehicle classification for toll calculation
– Traffic monitoring and analytics
– Violation detection

Fleet Management
– Vehicle tracking and monitoring
– Driver behavior analysis
– Route optimization data
– Fuel and maintenance scheduling support

Smart City Applications
– Traffic management systems
– Parking guidance systems
– Environmental zone enforcement
– Public safety monitoring

TECHNICAL SPECIFICATIONS
✓ Optimized for Indonesian license plates and vehicles
✓ Multi-vehicle detection in single image
✓ Real-time processing with sub-second response
✓ RESTful API with JSON requests/responses
✓ Supports JPG, JPEG, PNG image formats
✓ File upload or URL-based image processing
✓ Normalized coordinates for easy integration
✓ Confidence scores for each detection
✓ Comprehensive error handling

INTEGRATION
Easy integration with detailed documentation and code samples in Python, Node.js, PHP, and Java. Free tier available for testing. Flexible pricing for production deployment.

OUTPUT FORMAT
Returns structured JSON with:
– Vehicle bounding box coordinates
– License plate number (if detected)
– Vehicle type classification
– Vehicle color
– Confidence scores for each attribute
– Total vehicle count

ACCURACY & PERFORMANCE
– High accuracy license plate recognition optimized for Indonesian plates
– Works in various lighting and weather conditions
– Handles multiple vehicles simultaneously
– Processes images in under 1 second

LIMITATIONS
– Optimized for Indonesian license plate formats
– Best performance with clear, front-facing vehicle images
– License plate recognition accuracy depends on image quality and plate condition
– Minimum recommended image resolution: 640×480 pixels

PRICING
Pay-per-use pricing based on API calls. Free tier includes monthly allowance for development and testing. Volume discounts available for high-traffic applications.

Trusted by parking operators, traffic authorities, security firms, and smart city projects across Indonesia.