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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 Datacake?

The Datacake platform provides an array of tools for developing Industrial IoT applications such as condition monitoring, data logging, real-time dashboards, and in-depth data analytics. You have the ability to seamlessly connect devices and gateways via protocols like LoRaWAN or NB-IoT. The platform is designed for integration flexibility, featuring options like MQTT and other interfaces. By utilizing the Datacake IoT platform together with Ready-to-Use LoRaWAN sensors, you can efficiently oversee water levels in a variety of environments, including flowing streams, still ponds, and storage containers. Moreover, the platform includes advanced online mapping tools that enable you to visualize the current locations of your IoT assets, including sensors and machinery, on interactive maps. You can also analyze the historical paths taken by these devices, which offers valuable insights directly within the mapping interface. Additionally, there's the option to upload images and place sensors onto detailed floor plans, hall layouts, or other pertinent diagrams, facilitating a clear presentation of on-site conditions for your clients. Information can be transmitted to your devices on Datacake through webhooks, and payload decoders are available to manage HTTP requests effectively. By capitalizing on these robust features, companies can significantly boost their operational efficiency and make better-informed decisions. Ultimately, the versatility of the Datacake platform empowers businesses to create bespoke IoT solutions tailored to their specific needs.

Media

Media

Integrations Supported

Docker

Integrations Supported

Golioth
Particle

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

€1 per device per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sensing Feeling

Date Founded

2016

Company Location

United Kingdom

Company Website

sensingfeeling.io

Company Facts

Organization Name

Datacake

Date Founded

2017

Company Location

Germany

Company Website

datacake.co

Categories and Features

Categories and Features

Condition Monitoring

Not specified

IoT

Not specified

Low-Code Development

Not specified

Machine Monitoring

Not specified

MQTT Brokers

Not specified

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