Deployed on AWS
MangoITS is an intelligent traffic management system that provides data on traffic flow, anomalies, and movement through diverse sensors like radar, LiDAR, and cameras. Using real-time insights and AI analytics, it empowers organizations to enhance traffic quality, prevent breakdowns, and ensure safety. The system enables smart monitoring with external API interfaces and flexibility to adapt to user needs.
Overview
MangoITS is an AI-powered platform for advanced traffic monitoring and management. It integrates multiple sensor types to provide comprehensive insights on road traffic. The system offers customizable interfaces, real-time data processing, and predictive analysis. MangoITS seamlessly integrates with existing infrastructure, enabling efficient traffic flow optimization and enhanced safety across various scales of projects.
Highlights
- Flexible, Intelligent Traffic Control: MangoITS provides real-time traffic monitoring and management through advanced sensor data, enabling dynamic control tailored to evolving traffic conditions.
- Customizable Implementation: A comprehensive implementation process includes a needs assessment and user interface customization, ensuring that data display, alerts, and system integrations meet project-specific requirements.
- Seamless Integration with External Data: Full integration support with external sensors and data sources enables enriched traffic analysis, with insights generated from diverse, real-time information.
Details
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
MangoITS Server | MangoITS Server | $4,500.00 |
MangoITS XS | Prepaid Per Device Unit Price for up to 15 Data-points | $15.00 |
MangoITS S | Prepaid Per Device Unit Price for up to 50 Data-points | $25.00 |
MangoITS M | Prepaid Per Device Unit Price for up to 100 Data-points | $35.00 |
MangoITS L | Prepaid Per Device Unit Price for up to 150 Data-points | $50.00 |
MangoITS XL | Prepaid Per Device Unit Price for up to 250 Data-points | $150.00 |
MangoITS API 500 | Prepaid Per API Connection System Price for Max Throughput 500 Gbps | $500.00 |
MangoITS API 500 Plus | Prepaid Per API Connection Unit Price for Max Throughput +500 Gbps | $1,500.00 |
Dimensions summary
This contract pricing splits into three parts. First, you pay for the MangoITS Server as the platform base. Second, you add device units priced per device by data-point capacity: XS covers up to 15 data-points, S up to 50, M up to 100, L up to 150, and XL up to 250. You pick the size matching each device's data volume. Third, you choose API connection pricing by throughput: API 500 for up to 500 Gbps, or API 500 Plus for throughput above 500 Gbps. Each part is billed prepaid per unit.
Top-of-mind questions for buyers
A data-point is a distinct data value a device reports to the platform, such as a vehicle count, speed reading, or trajectory measurement. You count the data-points each connected sensor or camera sends, then match that total to the size covering that range: XS up to 15, S up to 50, M up to 100, L up to 150, XL up to 250.
All three parts add together. You pay once for the MangoITS Server platform base. You then add a device unit charge for each connected device, priced by its data-point size. You also add an API connection charge based on throughput. Device unit count usually drives the largest share when many devices connect.
You pick by data throughput across the Rest-API connection. API 500 covers throughput up to 500 Gbps. API 500 Plus covers throughput above 500 Gbps. Estimate the peak data rate your integrations pass through the API, then select the option matching that rate.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Revised version for Marketplace - EC2Launch configured
Additional details
Usage instructions
- Deploy the image on an Amazon Linux machine with instance type of c5.xlarge.
- During the instance creation, make sure that the security group has port 8443 open.
- Please make sure that the machine is used in your internal network and that it’s not accessible from the internet.
- Your username to access the system is modifyai-user. To access the system for the first time, you’ll be required generate your own password using the following link:
https://<instance_ip/dns>:8443/ui/reset-password?resetToken=eyJhbGciOiJFUzUxMiJ9.eyJzdWIiOiJtb2RpZnlhaS11c2VyIiwiZXhwIjoyMDQ2NTIwMDIwLCJpZCI6MywidiI6NSwidHlwIjoicHdyZXNldCJ9.ATBF_HyuGJhPmFFfhPlDLY6lEJ0JdSITNiRP4UstoNQhl_h09xMQ4Xs4u__muSAJA8nfIeF5irS7mX-yBeLg4WpGAcP0cWTdYB-OvpRzTkGUIRsHMxDPZTfghscqMuXhSSJ260kOSizHFIPlXt6SIwy2AJveDBDuFnAitJ9vf8wSiVAA
Enter the following details:New password: your new password Password verification: repeat your new password Press “reset” button
- Now that you’ve reset the password, you can access ModifyAI’s Mango ITS web application, by openning any browser and entering the machine’s IP address (for example: https://<Instance_IP/DNS>:8443)
- At the login screen enter the following username: modifyai-user and your password.
- You can now login the system with your new password and username: aws-user and start using ModifyAI’s Mango ITS.
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Support provided during working days between 9am to 6pm. Please contact us at support@modifyai.com support@modifyai.com
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