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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Enhance the relevance of your data through smart data collection that transmits only essential information to the cloud for analysis. You can evaluate standardized data from a vehicle fleet without the need to create a bespoke data collection or logging system. Achieve a comprehensive overview of information gathered from both conventional sensors and visual systems while ensuring it is automatically updated in the cloud. With AWS IoT FleetWise, it becomes simpler for you to gather vehicle data efficiently and organize it in the cloud, allowing you to leverage this information to enhance vehicle quality, performance, and autonomy. By consistently refining machine learning models for autonomous driving and advanced driver assistance systems using data from production vehicles, you can stay ahead of the curve. Additionally, insights from infotainment systems can be utilized to make in-vehicle audiovisual content and in-app recommendations more tailored to user preferences. Furthermore, analyze fleet data to keep track of EV battery health and charging levels, optimize maintenance schedules, assess fuel consumption, and explore additional benefits that enhance overall vehicle operation. This holistic approach to data management not only improves efficiency but also supports ongoing innovation in vehicle technology.

Description

Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
BitcoinOS
DataHawk
Kleene
Select Star

Integrations

Amazon Web Services (AWS)
BitcoinOS
DataHawk
Kleene
Select Star

Pricing Details

$0.60 per month
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

Amazon

Website

aws.amazon.com/iot-fleetwise/

Vendor Details

Company Name

MODE

Founded

2014

Country

United States

Website

www.tinkermode.com

Product Features

Product Features

IoT

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

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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