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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
Trafficware offers a cutting-edge live streaming service and predictive learning tool that facilitates the dissemination of up-to-the-minute data to external subscribers. TidalWave serves as the backbone for developing Smart City technologies, ensuring subscribers receive dependable and precise information. Utilizing machine learning and edge computing, TidalWave is at the forefront of transforming the Intelligent Transportation Systems (ITS) market by enhancing bandwidth and reducing response times, allowing for swift and accurate near real-time data streaming. To maintain high efficiency and minimal delays, TidalWave employs data compression techniques that diminish the overall data load. By conducting analysis at various points, whether through central Advanced Traffic Management Systems (ATMS) or on-site controllers, this system enables significant infrastructure cost reductions. Users can access immediate, high-resolution data and implement optimal vehicle routing aided by predictive learning techniques. Additionally, the service streams traffic data in near real-time without disrupting city infrastructure and is fully compatible with third-party applications, making it a versatile solution for modern urban challenges. This innovative approach not only enhances traffic management but also lays the groundwork for smarter, more efficient city living.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Cubic | Trafficware
Founded
1978
Country
United States
Website
www.trafficware.com/tidalwave.html
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