Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Electromeet serves as a cost-effective online laboratory platform tailored for engineering educators and students alike. By leveraging cloud technology alongside remote and virtual instruments, it enhances practical training experiences without fully substituting traditional methods. Our approach emphasizes instructional scaffolding, which aims to promote cognitive learning outcomes and foster critical thinking among learners. The system integrates computers with physical instruments and sensors, mirroring the setup of conventional university engineering labs. These interactive practical sessions are not only controllable and adjustable but also allow real-time viewing via webcams, covering a range of topics such as data communication protocols, scientific instrumentation, physical experimentation, and the management and analysis of circuits, systems, machinery, and robotics. Additionally, the IRIS application is designed to ensure educators can maintain assessment integrity during online and remote evaluations, providing peace of mind in the process. Thus, Electromeet not only transforms the learning landscape but also upholds the standards essential for academic rigor.
Description
The Wekinator is an open-source software that is available for free. Initially developed by Rebecca Fiebrink in 2009, Wekinator 1.0 laid the groundwork for subsequent versions. In 2015, she introduced Wekinator 2.0, which featured a complete overhaul with enhanced interactions, new algorithms, and seamless connectivity to various creative coding tools and sensors. This updated version is regularly maintained to address bugs and incorporate user feedback. With Wekinator, individuals can harness machine learning to create innovative musical instruments, gestural game controllers, and systems for computer vision or audio recognition. It empowers users to establish interactive systems by showcasing human actions and their corresponding computer responses, eliminating the need for traditional programming. Users can create unique mappings between gestures and sounds, manipulate a drum machine via their webcam, utilize Kinect technology to play Ableton, and even control interactive visual environments built in platforms like Processing or Unity with simple gestures detected by a webcam or sensors. This opens up a world of creative possibilities for artists and developers alike.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
IDC Technologies
Founded
1986
Country
Australia
Website
www.electromeet.com
Vendor Details
Company Name
Wekinator
Founded
2009
Website
www.wekinator.org
Product Features
Video Conferencing
Electronic Hand Raising
Yes
Mobile Access
Yes
On-Demand Webcasting
Yes
Presentation Streaming
Yes
Presentation Tools
Yes
Private Chat
Yes
Real-Time Chat
Yes
Record & Playback Ability
Yes
Screen Sharing
Yes
Two-Way Audio & Video
Yes
Video Conferencing
Yes
Whiteboard
Yes
Web Conferencing
Electronic Hand Raising
Yes
Mobile Access
Yes
On-Demand Webcasting
Yes
Presentation Streaming
Yes
Presentation Tools
Yes
Private Chat
Yes
Real-Time Chat
Yes
Record & Playback Ability
Yes
Screen Sharing
Yes
Two-Way Audio & Video
Yes
Video Conferencing
Yes
Whiteboard
Yes
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No