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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

Products must not only be functional but also economically viable. Reality AI combines machine learning with sophisticated signal processing mathematics, providing rapid and efficient machine learning inference that can operate on the tiniest microcontrollers, thus enabling advanced features in cost-effective hardware. Engineers are unlikely to implement a solution they do not fully comprehend. With Reality AI Tools®, users gain insights through visual representations of model behavior across both time and frequency domains, facilitating clear explanations to colleagues and stakeholders regarding model performance. A significant portion of the expenses associated with machine learning initiatives—up to 80%—is attributed to instrumentation and data collection. Reality AI Tools® excels at determining the most budget-friendly combinations of sensor channels, optimizing sensor placements, and establishing essential component specifications. Additionally, it assists in controlling data collection costs by identifying issues with instrumentation and data processing while data is being collected, ensuring a more streamlined process overall. This comprehensive approach not only enhances project efficiency but also empowers teams to make more informed decisions throughout the development phase.

Description

Sensorita has engineered a specialized sensor capable of withstanding harsh conditions, ideal for sites like construction zones. Our innovative technology allows for precise measurement of fill levels in sizable waste containers. This advancement stems from research conducted at the Norwegian University of Life Sciences, marking the first sensor tailored specifically for the larger container market. Our distinct methodology for measuring fill levels guarantees exceptional accuracy and dependability. By harnessing the power of radar signals alongside advanced machine learning techniques, we can effectively monitor fill levels across various large containers, even those that lack a lid. Sensorita’s cutting-edge solution provides insights into container fill status and predicts optimal pick-up times based on artificial intelligence and historical usage data. Imagine presenting your clients with a service where they never have to worry about their container capacity again. With Sensorita’s technology, you can ensure timely waste collection, maximizing efficiency and customer satisfaction. This innovative approach not only streamlines waste management but also supports sustainable practices by optimizing collection logistics.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Reality AI

Founded

2015

Country

United States

Website

reality.ai

Vendor Details

Company Name

Sensorita

Country

Norway

Website

sensorita.com

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)

Product Features

Waste Management

Billing & Invoicing
Customer Accounts
Customer Database
Equipment Tracking
Inventory Management
Routing
Scheduling
Waste Disposal
Work Order Management

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