EZ Obstacle Detection

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EZ Obstacle Detection

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Smart obstacle detection service

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 detect obstacles in specific fields as well as street road, lane, intersection, sidewalk, etc. Through data collection and model adaptation, EZ obstacle detection can identify multi obstacles and send out alarm in real time while abnormal stopping objects get detected, so as to handle and manage a safe traffic condition in real time.

Advantages of our solution

obstacle detection

Combining with EZ Pro VMS, EZ obstacle detection can detects anomaly and set our alarm and record 24/7

Complete API interfacing is built to bridge with 3rd party system to allow operation under the same system that clients are familiar with.

Following the increasing popularity of smart traffic solution and 5G telecom in recent years, numerous video analytics products have been developed to solve traffic issues. Due to the nature of AI on autonomous detection and 24/7monitoring, video analytics not only reduces the manpower but also manage the risks in real time from technological law enforcement to big traffic data management,. In addition, through the statistics and analysis of traffic data, AI can aid planning and management of road sites, improve traffic quality and provide more convenient and safer environment to driver and pedestrians.

Special feature

Obstacle detection system

Different from the insufficient radiation range of the gun-type camera, the fisheye lens can cover the entire intersection, perform 360-degree panoramic detection, and grasp the complete trend of traffic flow. And through the deep learning algorithm to correct the fisheye image, achieve vehicle type identification, vehicle volume calculation, vehicle flow line analysis and other functions.

Scattered objects detection

Accident detection

Abnormal stopping detection

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Why choose us

COMPETITIVE ADVANTAGES OF OBSTACLE DETECTION SYSTEMS

High accuracy

The recognition rate during the day is over 90%, and the recognition rate at night is over 85%

Multiple object detection

Multiple targets can be identified on the same screen

Can be set freely

The effective range of measurement can be set by yourself

Combined with ioNetworks EZ Pro VMS

A complete logical notification linkage system, including Email, APP, SMS, Http Push, etc.

Demo Video

Applied fields

Field type suitable for our application

Highway

Port

Expressway

Tunnel

Street

相關文章 (tag)

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EZ Pro EZ Traffic Flow Analytics EZ License Plate Recognition EZ Violation Detection EZ Obstacle Detection GS484 series GS6S4 series GS38-SI
Eno Series (Smart Traffic)
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. 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. 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. 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.                                                                                                                                                                                                                                                                                                                                                   
20 Mar 2021 0

Top 3 potential start-up company

World-class leading brand of video solutions ioNETWORKS

Contact
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A  Rm. C503, 5F., No. 30, Baogao Rd., Xindian Dist., New Taipei City 231029 , Taiwan (R.O.C.)

E  support@ionetworks.co

T  +886-2-2218-0545

 

 

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