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What is Sensing Feeling?

Sensing Feeling offers an extensive array of advanced visual sensing technologies focused on enhancing safety, efficiency, and risk management across various environments. The SensorMAX system integrates effortlessly with existing CCTV and control systems, providing real-time video analytics while guaranteeing that no images are stored or transmitted, thus safeguarding user privacy. Furthermore, the Visual Processing Engine (VPE) operates at the edge, connecting with current Video Management Systems (VMS) or Network Video Recorders (NVR) to handle multiple streams simultaneously. SensorMAX is outfitted with a selection of algorithms tailored for tasks such as monitoring crowd density, identifying anomalies, and ensuring adherence to personal protective equipment (PPE) regulations, and it can also integrate with SCADA systems to facilitate automated alerts and responses. In contrast, SensorCODE is purpose-built for incorporation into low-power IoT edge devices, enabling constant remote sensing and real-time data transmission over networks like WiFi, LoRaWAN, and 4G/5G, thus proving to be a flexible solution for contemporary applications. This forward-thinking technology empowers users to react promptly and efficiently to incidents, ultimately fostering safer environments for all. By incorporating these innovative solutions, organizations can not only enhance their operational effectiveness but also significantly mitigate risks associated with safety.

What is SensiML Analytics Studio?

The SensiML Analytics Toolkit is designed to accelerate the creation of intelligent IoT sensor devices, streamlining the often intricate processes involved in data science. It prioritizes the development of compact algorithms that can operate directly on small IoT endpoints rather than depending on cloud-based solutions. By assembling accurate, verifiable, and version-controlled datasets, it significantly boosts data integrity. The toolkit features advanced AutoML code generation, which allows for the quick production of code for autonomous devices. Users have the flexibility to choose their desired interface and the level of AI expertise they wish to engage with, all while retaining complete control over every aspect of the algorithms. Additionally, it facilitates the creation of edge tuning models that evolve their behavior in response to incoming data over time. The SensiML Analytics Toolkit automates each phase required to develop optimized AI recognition code for IoT sensors, making the process more efficient. By leveraging an ever-growing library of sophisticated machine learning and AI algorithms, it creates code that is capable of learning from new data throughout both the development phase and after deployment. Furthermore, it offers non-invasive applications for rapid disease screening, which intelligently classify various bio-sensing inputs, thereby playing a crucial role in supporting healthcare decision-making processes. This functionality not only enhances its value in technology but also establishes the toolkit as a vital asset within the healthcare industry. Ultimately, the SensiML Analytics Toolkit stands out as a powerful solution that bridges the gap between technology and essential healthcare applications.

Media

Media

Integrations Supported

Docker

Integrations Supported

Docker

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sensing Feeling

Date Founded

2016

Company Location

United Kingdom

Company Website

sensingfeeling.io

Company Facts

Organization Name

SensiML

Date Founded

2017

Company Location

United States

Company Website

sensiml.com

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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