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What is HEC-RAS?

The Hydrologic Engineering Center (CEIWR-HEC) has developed the River Analysis System (HEC-RAS), a flexible software program that allows users to perform calculations for one-dimensional steady flow and both one and two-dimensional unsteady flow, in addition to modeling sediment transport and water quality. The website dedicated to this software aims to enhance the support offered to HEC-RAS users. On the HEC-RAS site, users can find a variety of resources such as downloads of the software, user manuals, troubleshooting help, options for reporting bugs, and a channel for suggesting improvements to CEIWR-HEC products and services. It's important for users to understand that CEIWR-HEC is unable to provide phone or email support to individuals outside of the US Army Corps of Engineers (USACE). However, users who encounter problems with the software are encouraged to report them through the HEC-RAS Bug Report page. Furthermore, consulting the Support Policy page can provide users with detailed insights into the available support services. By actively participating in this platform, users can contribute to enhancements in software performance and overall user satisfaction, fostering a collaborative community around HEC-RAS.

What is Animetrics?

A groundbreaking facial recognition system designed specifically for law enforcement and forensic experts converts 2D images into 3D avatars, allowing for intricate overlays of facial features. The FaceR Identity Management Solution functions as a centralized platform for overseeing sophisticated 3D facial recognition, utilizing the advanced FaceR technology developed by Animetrics. Law enforcement agents, forensic specialists, and security personnel are increasingly in need of accurate identification of suspects' faces from a variety of photographic formats, including images captured by surveillance cameras. The latest biometric innovation from Animetrics, ForensicaGPS, gives officers the ability to identify individuals even from low-resolution photos or videos. With its advanced facial recognition capabilities, ForensicaGPS not only expedites the investigative process but also enhances the precision of identifications. The effectiveness of ForensicaGPS is rooted in its capacity to transform two-dimensional facial images into comprehensive three-dimensional avatars, which significantly boosts the efficacy of criminal investigations. This technological leap not only facilitates the identification of suspects but also fortifies the integrity of the justice system by providing dependable evidence, thereby making a profound impact on the field of law enforcement. As technology continues to evolve, tools like ForensicaGPS will become indispensable in the pursuit of justice.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

US Army Corps of Engineers

Date Founded

1802

Company Location

United States

Company Website

www.hec.usace.army.mil/software/hec-ras/

Company Facts

Organization Name

Animetrics

Company Location

United States

Company Website

animetrics.com

Categories and Features

MEP

3D Design
3D Spooling
Costing and Reporting
Design Feedback
Documentation Tools
Drafting Automation
HVAC Design
MEP Fabrication
Project Communication
Service Validation / Clash Detection

Categories and Features

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