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What is Verizon Real Time Response System?

Inaccurate or insufficient information can greatly hinder the effectiveness of public safety efforts. This challenge often stems from data being trapped within different departments and solutions, which makes the situation worse. The Verizon Real-Time Response System offers a holistic view of a city's status at any given time. As a crucial part of our Safe City initiative and Smart Communities portfolio, this system is designed to work seamlessly with other public safety tools from various vendors. By fostering collaboration among agencies, the Real-Time Response System enhances situational awareness and facilitates informed decision-making through the detection of potential threats by merging a range of technologies. Engineered to be compliant with Criminal Justice Information (CJI) standards, this system aggregates extensive data from numerous sources, such as computer-aided dispatch, video surveillance, records management systems, and external databases. Furthermore, the comprehensive integration provided by the Real-Time Response System not only leads to a more effective emergency response but also contributes to an overall safer community, showcasing the importance of inter-agency cooperation in addressing public safety challenges.

What is Intelense KEN AI?

Historically, the management of properties and assets has posed significant challenges and risks, often characterized by complex processes. By utilizing pre-existing cameras, sensors, and devices, we can derive insightful analytics that significantly improve operational efficiency. Our state-of-the-art AI technology analyzes this data to identify activities concerning safety, health, and compliance, which allows for the automation of various tasks. We have developed an extensive range of solutions driven by KEN AI™, specifically designed to enhance health, safety, and emergency services. These applications are fully compatible with IoT and 5G technologies and come equipped with open APIs for easy integration. The scope of AI Analytics encompasses multiple areas, including traffic management, crowd control, airport operations, and emergency response systems. Our AI-enriched video technology is particularly focused on protecting your most critical asset—your workforce. KEN AI continuously monitors and addresses safety risks in real time during operations. Additionally, our APIs are capable of identifying anomalies both in recorded incidents and within the IoT sensors, providing a thorough approach to safety management. The integration of these cutting-edge solutions is set to transform the future of asset management significantly. Ultimately, our mission is to create a safer and more efficient environment for all stakeholders involved.

Media

Media

Integrations Supported

Verizon Connected Smart Cities & Communities

Integrations Supported

Verizon Connected Smart Cities & Communities

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

Verizon

Date Founded

1983

Company Location

United States

Company Website

www.verizon.com/business/products/internet-of-things/connected-smart-cities-communities/real-time-response-system/

Company Facts

Organization Name

Intelense

Date Founded

2018

Company Location

Canada

Company Website

www.intelense.com/applications

Categories and 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

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