SensEI by TDK

Delivering AI to the Industrial Edge

Elevating Machine Health with Advanced AI insights

Are you ready to optimize the health of your critical machines?
Sign up for a meeting with one of our AI experts

Maximize Uptime

By continuously monitoring the health of machines, potential issues can be detected early, allowing for timely maintenance and preventing unexpected breakdowns.

Reduce Costs

Early detection of problems can prevent costly repairs and extend the lifespan of critical machines, ultimately saving money on maintenance and replacement costs.

Optimize Production

Real-time data from machine health monitoring helps identify inefficiencies and areas for improvement. This allows for adjustments to be made that optimize machine performance, leading to increased production output.

What is Edge AI?

Real-Time Decision Making: Edge AI refers to the deployment of artificial intelligence algorithms and models directly on edge devices, such as sensors, gateways, and other IoT (Internet of Things) systems. This is critical in applications where immediate action may be required, such as predictive maintenance to prevent machine failures.

Scalable

Deployments

Real-time

Decision Making

Privacy

and Security

Bandwidth

Efficiency

Cost

Efficiency

Edge AI supports distributed computing architectures, allowing AI models to be deployed across a network of edge devices. This scalability is beneficial for applications spanning large geographical areas or involving many edge devices.

Scalable Deployments

Real Time Decision Making

By processing data locally, Edge AI enables real-time decision-making capabilities. This is critical in applications where immediate action is required, such as in industrial automation.

Scalable

Deployments

Real-time

Decision Making

Privacy

and Security

Bandwidth

Efficiency

Cost

Efficiency

Scalable

Deployments

Real-time

Decision Making

Privacy

and Security

Bandwidth

Efficiency

Cost

Efficiency

Privacy and Security

Keeping data on the edge device can enhance privacy and security, as sensitive data does not need to be transmitted over networks or stored in centralized cloud servers.

Scalable

Deployments

Real-time

Decision Making

Privacy

and Security

Bandwidth

Efficiency

Cost

Efficiency

Bandwidth Efficiency

Edge AI reduces the amount of data that needs to be transmitted to the cloud. This optimizes bandwidth usage and reduces associated resource costs.

Scalable

Deployments

Real-time

Decision Making

Privacy

and Security

Bandwidth

Efficiency

Cost

Efficiency

Cost Efficiency

By processing data locally, Edge AI can reduce costs associated with cloud computing resources and data transfer fees.

Delivering AI to the Industrial Edge

Are you ready to optimize the health of your critical machines? Sign up for a meeting with one of our AI experts

What is Edge AI?

Partnerships That Drive Success

Are you ready to optimize the health of your critical machines?
Sign up for a meeting with one of our AI experts

Partnerships That
Drive Success