X
Select a record to create:
Vendor
Feature your company on the IoT ONE platform.
Select
Case Study
Feature case studies to demonstrate the value your solutions provide.
Select
Hardware
Share the specifications and applications of your hardware portfolio with potential customers.
Select
Software
Share the capabilities and applications of your software portfolio with potential customers.
Select
Guide
Establish thought leaderships for yourself and your company in your target markets.
Select
Event
Feature your events for IoT ONE’s audience of decision makers and experts.
Select
Organization
List your organization in our database and share your mission and membership.
Select
Use Case
Suggest a new Industrial IoT use case and share your expertise.
Select
Term
Suggest a new Industrial IoT term and share your expertise.
Select
Neokami Analytics
Vendor
relayr
Software Category
Embedded Operating System
License Type
Pay per Use
Product Website
Open website
Contact Vendor
Feature New Record
Vendor
Case Study
Hardware
Software
Guide
Event
Organization
Use Case
Term
Overview
Compare
(9)
DESCRIPTION
Description
Neokami is a fully integrated deep learning platform that brings value to your IOT data. Our team of PhDs, software engineers and scalable data analysis platform address all use cases from Computer Vision to streaming Anomaly Detection.
Computer Vision & Image Recognition
• Proprietary user-defined image recognition technology using convolutional neural networks.
• Enables visual recognition of any type of image
• Intuitive interface for monitoring results and optimising algorithms
• Easy integration via SDKs
Anomaly Detection
• Analytics layers that performs unsupervised machine learning on unstructured data to find patterns and areas of interest within the data
• Enables deeper analysis such as Predictive Maintenance
• Unlimited data streams can be analyzed
• Real-time streaming and detection using proprietary implementation of latest anomaly detection algorithms
Predictive Maintenance
• Combining supervised and unsupervised machine learning techniques to proactively predict machine failures and service outages
• Customised data and analysis models for higher accuracy and fewer false positives
Data Visualization
• Customised real-time analytics dashboards for easy interaction and manipulation of data
• Bi-directional fundamental device management
• Proprietary design emphasizing modern UX/UI best practices
Fatal error
: Call to a member function get() on null in
/efs/iotone.com/module/Application/view/application/software/index_view.phtml
on line
118