Eno Series (Smart Transportation Solution)

Eno Series (Smart Traffic)

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Introduction

In recent years, with the development of autonomous vehicle, AIoT and communication technology, integrated application has become a worldwide trend.

Eno Series is a smart transportation solution designed to achieve a more effective and safe transportation network. It uses deep learning technology to realize functions such as traffic flow analytics, license plate recognition, violation detection, obstacle detection, etc., and is applied in various transportation fields for technological law enforcement, anomaly detection and road condition analysis. With the traffic management platform (TMS) developed by ioNetworks, we can get a more humanized user experience, and apply advancement road condition notification that is required in the future era of Internet of Vehicles.

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Smart Traffic Solutions
A full range of smart transportation services

In recent years, with the development of autonomous vehicle, AIoT and communication technology, integrated application has become a worldwide trend.
Eno Series is a smart transportation solution designed to achieve a more effective and safe transportation network. It uses deep learning technology to realize functions such as traffic flow analytics, license plate recognition, violation detection, obstacle detection, etc., and is applied in various transportation fields for technological law enforcement, anomaly detection and road condition analysis. With the traffic management platform (TMS) developed by ioNetworks, we can get a more humanized user experience, and apply advancement road condition notification that is required in the future era of Internet of Vehicles.

EZ TrafficFlow Analytics
Smart Traffic Solutions
EZ TrafficFlow Analytics

Differing from the insufficient irradiation range of bullet camera, the irradiation range of fisheye lens can cover complete intersections, and 360-degree panoramic detection can be carried out to master the complete movement of traffic flow. Through deep learning algorithm and the calibration to fisheye image, the functions of vehicle type identification, vehicle volume calculation, traffic flow analysis, and so on are achieved.
In addition, in the field which is unsuitable for setting up fisheye camera, the bullet-type camera can also be used to identify the traffic flow of people and vehicles on general roads, so as to analyze the number and path of people and vehicles.

EZ License Plate Recognition
Smart Traffic Solutions
EZ License Plate Recognition

The outdoor dynamic identification rate is over 95%. The AI model is trained by field data, which are applied to different outdoor environments and adapt to license plate rules of different countries. Therefore, even if it is applied to foreign traffic environments, it can still maintain certain recognition accuracy with high recognition flexibility.
License plate recognition is also an important project of technological law enforcement in intelligent transportation, which can improve the efficiency of law enforcement by returning illegal vehicle information through legality detection and license plate recognition.

EZ Violation Detection
Smart Traffic Solutions
EZ Violation Detection

EZ violation detection consists of a series of detection action on traffic safety violation events, including red light running, illegal right/left turn, illegal parking, wrong way driving and other violations. The combination of violation detection and license plate recognition can help conduct law enforcement in a technological way that greatly reduces manpower and maintains traffic order and safety.
In addition, it can flexibly adapt in various environment, learn and adjust to meet the targeted accuracy rate. It will watch the illegal road conditions in real time through the traffic management platform, obtain illegal information, and effectively detect danger for subsequent judgment and response.

EZ Obstacle Detection
Smart Traffic Solutions
EZ Obstacle Detection

EZ obstacle detection identifies possible obstacles according to different road conditions. Whether it's scattered objects, such as cartons or abnormal stopping of people and vehicles, it can report the road conditions immediately through obstacle detection, speed up the processing flow and maintain road safety.
In addition, this function can also detect specific fields, whether tunnels, railways or expressways, and can detect potential risks through model adaptation, so as to handle and maintain a safe traffic environment in real time.

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EZ TrafficFlow Analytics
EZ License Plate Recognition
EZ Violation Detection
EZ Obstacle Detection

Feature

In this solution, related applications can be carried out according to different fields and requirements, and the most suitable system structure for the field can be planned. Through system structure design and the field data collection, high recognition rate against speeding object can be clearly obtained, whether it is license plate recognition, technological enforcement on expressways, obstacle detection in railway operation, or even traffic flow analysis and road condition judgment in the autonomous driving planning field.

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Core Features

Based on the past experience of cooperation with domestic and foreign city governments in smart transportation, ioNetworks has a large amount of traffic data and high dynamic identification accuracy, and manages it through an intuitive traffic management platform, clearly presenting AI operation results for subsequent judgment and application.

High Accuracy and Recognition Speed

Using AI deep learning technology, the engine can be adjusted to high accuracy for special environments and fields.

Platform with Complete Functions

The user-friendly management interface includes functions such as management, linkage control, recording, and instant notification, which are easy to operate and clearly presented.

Rich Experience in Cooperation

With a lot of smart transportation cooperation experience, we will plan the most suitable plan for you.

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Why Choose Eno Series?

Deep Learning Technology

Each product has an independent deep learning algorithm, which can adjust the engine to higher accuracy in various special environment changes.                                                                                        

Optimized Software Architecture

Self-built high-efficiency, low-computing streaming server and database, supports more cameras for AI recognition, and can recognize multiple objects on the same screen.

Complete API and SDK Files

It is easier to integrate with other devices or solutions.                                                                                                                                                                                                                                                                                                                                                  

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