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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Managing properties and assets has historically been a challenging, high-risk endeavor that often involves cumbersome procedures. By leveraging existing cameras, sensors, and devices, we are able to extract valuable analytics that enhance business operations. Our advanced AI technology processes this information to pinpoint activities related to safety, health, and compliance, enabling the execution of automated tasks. We have crafted a comprehensive suite of solutions powered by KEN AI™ specifically aimed at improving health, safety, and emergency services. These applications are designed to be compatible with IoT and 5G technologies, featuring open APIs for seamless integration. The use of AI Analytics spans various domains, including traffic management, crowd control, airport operations, and emergency response services. Our video technology, enhanced by AI, is specifically designed to safeguard your most valuable assets—your workforce. KEN AI actively identifies and mitigates safety risks in real-time during operations. Furthermore, our APIs are equipped to detect irregularities both in the incidents recorded and within the IoT sensors themselves, ensuring a comprehensive approach to safety management. By integrating these innovative solutions, we aim to revolutionize the asset management landscape.

Description

Conventional street lighting systems can significantly drain both energy resources and finances, but there is now a more intelligent and cost-effective alternative available. Verizon Intelligent Lighting allows for remote management of lights, whether individually or in groups, and lets you schedule them to turn on, off, or dim according to specific criteria. This ensures that lighting is available precisely when and where it's needed, effectively reducing energy expenses while enhancing the safety of the community. Additionally, with City Hub, users can tap into a broader range of IoT solutions through an adaptable, user-friendly cloud platform. The Verizon Intelligent Lighting framework transforms standard LED fixtures into smart devices equipped with sensors that gather and relay data almost instantly. This provides comprehensive control over lighting, valuable insights into the status of your lighting systems, and access to various applications and services related to lighting. Furthermore, Intelligent Lighting encompasses a full suite of solutions, including wireless communication, cloud services, hardware, and software, ensuring a seamless integration for modern urban environments. With such advanced capabilities, cities can not only improve their operational efficiency but also foster a safer and more sustainable living space for their residents.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Verizon Connected Smart Cities & Communities

Integrations

Verizon Connected Smart Cities & Communities

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Intelense

Founded

2018

Country

Canada

Website

www.intelense.com/applications

Vendor Details

Company Name

Verizon

Founded

1983

Country

United States

Website

www.verizon.com/business/products/internet-of-things/connected-smart-cities-communities/intelligent-lighting/

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Product Features

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