Internet of Things
IoT devices or Internet of things are the components that make it possible to “sensor” real-world objects.
With this technology it is possible to collect and exchange valuable or business data with other systems for subsequent analysis. Thanks to the implementation of these technologies, there are concepts such as “Smart Industries” or “Smart Cities”.
Data processing and analysis with the Internet of things
Centralized data processing consists of ingesting, storing and calculating the information received.
This processing allows the generation of predictive models through artificial intelligence, aggregate information for dashboards, etc.
We help you to implement IoT solutions .|
Manufacturing
.| Machinery Operation
.| Environmental Information
.| Presence control
Energies
.| Machine Operating and Maintenance Parameters
.| Environmental information
.| Presence control
.| Generation and distribution parameters
Smart Cities
.| Waste container filling status
.| Capacity and traffic controls
.| Usage data of public services (transport, etc.)
.| Environmental data
Logistics
.| Location of containers or loads
.| Container or load environmental conditions
.| Speeds
.| Impacts
We help you to implement IoT solutions .|
Identification of business processes that can benefit from this technology
Deployment and configuration of IoT and IoT Edge devices
Development and deployment of IoT device workloads
Integration with other technologies (Artificial Intelligence Models, Big Data, BI, etc.)
Identification of business processes that could benefit from this technology
IoT Edge devices
On Premise processing in IoT devices
Traditional IoT devices are responsible of capturing sensor signals and emitting them to other systems for centralized processing.
They allow data processing to be performed on the device itself, covering use cases where the sensitivity of the information requires it to be processed on the local infrastructure without traveling over the Internet.
On Premise Processing
On premise processing allows data to be processed on the device itself, applying the same processes that could be performed in a centralized system.
The artificial intelligence models, aggregation or anonymization of the information will be performed locally, and it is only necessary to transmit the information that needs to be stored centrally.
IoT Edge applied
Video analysis
Application of artificial intelligence processes to video images:
.I Hot spots
.I Facial recognition
.I Defect identification
.I Motion control
Sensitive information
Processing of sensitive information on the device itself
.I Health data
.I Defense sector
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