In this article

Introduction

How does VIDIZMO leverage ALPD?

Detection

Advantages of VIDIZMO Indexer

Performance

Night and Daytime lightning conditions

Weather Conditions

Highlights

Detection Accuracy

Read Next


Introduction

Smart vehicles and intelligent transportation system technologies are continuing to alter many aspects of human life. As a result, technologies like automatic license plate detection (ALPD) have become commonplace in our daily lives. Furthermore, the concept of ALPD has the potential to contribute to a variety of application cases while obviating the need for human participation.


VIDIZMO, in combination with its all-encompassing, robust video content management capabilities,  has built AI Indexer to provide enterprises with the power to detect license plates automatically within the videos and later redact them too. 


How does VIDIZMO leverage ALPD?

VIDIZMO leverages ALPD technique by building a robust model, which in turn uses deep learning to detect license plates. The model reads license plates on automobiles automatically and quickly, without the need for human intervention.


VIDIZMO indexer takes video as input. Indexer starts a workflow activity that takes some time to detect license plates in video. Video processing time may vary as it depends on factors such as video quality, duration, and resolution. Once the detection is complete, the user can see the detected license plates by navigating to Studio Space and redact all the detected license plates. 


To understand redaction in detail, please refer to this article: Understanding Redaction using Studio Space. In order to redact the automatically detected license plates, please refer to this article:  How to Redact PII from Digital Evidences 


Moreover, VIDIZMO Indexer also gives the flexibility to choose from three different models, which are "Small", "Medium", and "Large". It also allows the user to set confidence threshold, tracking  frame based on which the indexer will detect license plates so that the user is able to get most out of the VIDIZMO Indexer capability according to the use case.


Please refer to the following article to understand what model size, confidence threshold, and tracking frames are: How to configure VIDIZMO Indexer for object detection  




Detection

VIDIZMO Indexer's Automatic License Plate Detection capability offers numerous advantages that are the basis for real-world scenarios. The majority of its advantages are related to automating manual jobs, governance, and improving the customer experience by automatically detecting all the license plates within the video on a single click rather manually annotating all the license plate to later redact them. Some of the advantages, VIDIZMO indexer offers for Automatic License Plate Detection are listed below:


Advantages of VIDIZMO Indexer

Performance

VIDIZMO Indexer has been made such that no human input is required for precise and fast number plate detection. Moreover, it also minimize detection job wait times by processing multiple jobs in parallel. As a result, it promotes cost-effective governance and shortens wait times. 


Night and Daytime lightning conditions

VIDIZMO Indexer has been built keeping in mind the importance of detecting license plate in night time and as important it is detecting in day time. As a result, license plates in night time are detected as efficiently as daytime . As a result, it promotes higher detection accuracy and less manual work. 


Weather Conditions

VIDIZMO Indexer has been built keeping in mind the importance of detecting license plate in every weather condition including sunny, cloudy, and rainy.  License plates in different weather conditions are efficiently detected. As a result, it promotes higher detection accuracy and less manual work.


Highlights

Detection Accuracy

As of now, our VIDIZMO Indexer has been built to perform best on USA License Plate videos with mAP of over 87%.  


Understanding Redaction Using Studio Space

How to Redact PII From Digital Evidences