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What is OpenStreetMap?

OpenStreetMap provides mapping information that is used by numerous websites, mobile apps, and devices worldwide. This initiative is maintained by a collective of mappers who are passionate about contributing to and refreshing details about various features, including roads, pathways, cafés, and train stations all over the planet. It prioritizes local knowledge, with contributors leveraging tools such as aerial photographs, GPS devices, and basic field maps to guarantee the reliability and timeliness of the information. The community linked to OpenStreetMap is not only diverse but also vibrant and ever-growing, comprising hobbyist mappers, GIS professionals, server technicians, and humanitarians who concentrate on mapping regions impacted by emergencies. To delve deeper into this dynamic community, interested individuals can check out the OpenStreetMap Blog, personal user diaries, various community blogs, and the OSM Foundation website for more information. OpenStreetMap is recognized as open data, enabling users to access and utilize it without restrictions for any purpose, as long as they acknowledge OpenStreetMap and its contributors appropriately. This transparency encourages collaboration and spurs innovation, establishing it as a highly valuable resource applicable in numerous fields. Furthermore, the continuous contributions from its community ensure that the data remains relevant and up-to-date, making OpenStreetMap an indispensable tool for both casual users and professionals alike.

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.

Media

Media

Integrations Supported

Auctions Live
Eazy Ride
GeoGrid
Hektar
MetGIS
Morphic
OneOffice
Planfix
Solispec
Stadia Maps
SuperMap GIS
SurvPC
Timefold
TomTom
UrbanSim
VEVS Bike Rental Software
VEVS Boat Rental Software
VEVS Car Rental Software
VisionCarto

Integrations Supported

Mathstral

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

OpenStreetMap

Date Founded

2004

Company Location

United Kingdom

Company Website

www.openstreetmap.org

Company Facts

Organization Name

Numina

Date Founded

2014

Company Location

United States

Company Website

numina.co

Categories and Features

GIS

Not specified

Categories and Features

Computer Vision

Not specified

People Counting

Not specified

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