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Average Ratings 0 Ratings
Description
LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.
Description
Scada-Lite, the remote well monitoring system, consists of two separate parts: Well Manager and Field Data Capture iOS App. This IoT platform allows you to optimize your workforce, increase employee safety, and minimize nonproductive times.
Scada-Lite Well Manager
Well Manager provides real-time data about your field assets to help improve business performance.
By making asset data available 24/7, Well Manager empowers you to:
-Move from reactive to proactive maintenance
-Prevent downtime and review production.
-Increase staff productivity
Scada-Lite Field Data Capture Application
FDCA, a Scada-Lite product that is exclusively designed for mobile devices, allows field workers to capture information on field assets. It allows for electronic and other measurement and allows for timely decision-making.
API Access
Has API
API Access
Has API
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Integrations
C++
Google AI Edge Gallery
JAX
Java
Kotlin
Objective-C
PyTorch
Python
Swift
TensorFlow
Pricing Details
Free
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
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Vendor Details
Company Name
Digital Oil and Gas Solutions
Founded
2019
Country
United States
Website
www.digitaloilandgas.solutions/
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
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
Oil and Gas
Compliance Management
Equipment Management
Inventory Management
Job Costing
Logistics Management
Maintenance Management
Material Management
Project Management
Resource Management
Scheduling
Work Order Management
SCADA
Alarm Management
Archiving & Retention
Dashboard Designer
Data Aggregation
Data Visualization
HMI Integration
Hardware Integration
Real-time Monitoring