e-con Systems' ALPR software suite leverages deep-learning models to handle the entire ALPR workflow. This includes vehicle and plate detection, recognition, classification, tracking, and metadata generation — optimized for edge compute and cloud-scale settings. Unlike lab-only models, they are trained and validated on diverse global datasets and stress-tested traffic conditions, maintaining superior performance in fast motion, low light, and adverse weather.
This ALPR software suite also integrates seamlessly across platforms, with hardware acceleration for NVIDIA Jetson (Orin Nano, Orin NX, Orin AGX), Qualcomm QRB series, Ambarella CV series, and custom AI accelerators via ONNX/TensorRT.
Accurately identify vehicles and license plates directly from live video feeds
Support jurisdiction-level plate formats used in traffic systems - with inbuilt recognition logic
Classify based on plate format and usage for enforcement and access workflows
Preserve vehicle/plate identity to reduce duplicate reads and stabilize traffic analytics
Extract visual attributes like vehicle make, model and color detection from moving vehicles
Estimate vehicle direction and average speed to quantify movement and generate precise metadata.
e-con Systems' ALPR software suite uses cutting-edge AI models optimized for cloud and edge deployments. This centralizes operations where compute placement varies.
e-con Systems' ALPR software suite delivers real-time inference at high frame rates. It supports critical workflows that depend on traffic data availability.
e-con Systems' ALPR software suite is hardware-agnostic - with support for NVIDIA, Qualcomm, Ambarella, and more. It cuts down deployment cycles and enables varied infrastructure choices.
e-con Systems' ALPR software suite exposes imaging outputs through REST APIs. This helps align with system requirements and existing software stacks.
~99% recognition accuracy in industry standard datasets
Up to 60° camera tilt and high vehicle speeds
Low plate pixel density (30-60 px)
No motion blur, skew, or shadows during fast transitions
Consistent performance in extreme brightness, tunnels, and night-time scenes
Stability in rain, fog, mist, and wet reflective roads
Ensure accuracy, speed, and long-term scalability — backed by 22+ years of proven expertise in embedded vision and AI systems.
