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What is Numina?

Numina conducts a comprehensive analysis of activities at the curb level. By gathering data in an anonymous and aggregated manner, the system yields valuable insights into pedestrian and vehicular traffic volume, their movement patterns, and overall dynamics on city streets. This information plays a crucial role in evaluating traffic safety, environmental considerations, and operational performance within urban infrastructure. Moreover, Numina aspires to establish a data utility that converts streets into a resource for developers. With privacy as a fundamental principle, Numina's design incorporates onboard computing in its sensors to process data while eliminating any identifiable images, resulting in datasets that prioritize anonymity and security. It distinguishes itself as the only computer vision sensor system specifically designed for urban settings, constructed from the ground up to provide insights without sacrificing privacy. While many stakeholders strive to build more livable communities, reaching a consensus on the most effective strategies often proves challenging. A variety of approaches are available for improving neighborhoods, and we are committed to helping cities identify the most effective solutions in a timely and equitable manner through a data-driven approach. Ultimately, our goal is to equip urban planners with the essential information to cultivate dynamic and inclusive public spaces that cater to the needs of all residents. Through this commitment, we aim to foster communities that not only thrive but also embrace diversity and accessibility.

What is Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

Mathstral

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic
Qrvey
Quickwork
SightRadar
Trendzact
Unremot
Visionati
n8n

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Numina

Date Founded

2014

Company Location

United States

Company Website

numina.co

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

Computer Vision

Not specified

People Counting

Not specified

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Not specified

Deep Learning

Not specified

Emotion Recognition

Not specified

Facial Recognition

Not specified

Image Processing API

Not specified

Image Recognition

Not specified

Liveness Detection

Not specified

OCR

Not specified

People Counting

Not specified

Session Replay

Not specified

Video Annotation

Not specified

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