Our Edge-AI board solution enables services and operations on any device without an internet connection.
Every device now has its own AI brain. Cheaper and more secure operation
The TI TDA4VM and similar-edge AI systems are well-suited for AI maintenance applications. AI maintenance involves the utilization of AI and machine learning techniques to optimize the maintenance and performance of various systems and equipment. By deploying Edge AI systems, such as the TDA4VM, directly within the maintenance infrastructure, real-time data analysis and decision-making can be performed locally, resulting in enhanced efficiency and reduced downtime.
The following are examples of how the TDA4VM or similar Edge AI systems can be utilized in AI maintenance:
1. Predictive Maintenance: Edge AI systems continuously analyze sensor data from machinery, equipment, or vehicles to detect patterns, anomalies, and early signs of potential failures. By running AI algorithms on the edge device, predictive maintenance models can be deployed directly within the system, enabling immediate detection and response to maintenance issues.
2. Condition Monitoring: Edge AI systems monitor and analyze real-time sensor data to assess the condition and performance of machines or equipment. By processing data locally, the edge device can quickly identify deviations from normal operating conditions and trigger alerts or perform necessary adjustments or repairs.
3. Anomaly Detection: Edge AI can be employed to identify anomalies or outliers in sensor data, indicating potential malfunctions or abnormal behavior. The TDA4VM, for instance, can process visual data from cameras, audio data, vibration data, or other types of sensor inputs to detect and classify anomalies in real time, facilitating timely maintenance interventions.
Edge AI systems perform on-device analysis and diagnostics, enabling technicians or maintenance personnel to remotely assess the health and performance of systems or equipment. This reduces the need for physical inspections or manual data collection, streamlining the maintenance process.
This eliminated the need to aggregate and transfer data to external computers or servers for AI processing. Instead, all data gathering and AI processing take place directly within our software on the same hardware. This approach not only improves efficiency but also ensures data security and compliance with industry-specific protection protocols
The price of a simple process (for example data gathering, which is a usual task) can be costly, AI process, transferring data, network installation, network security, etc. and these are not only costly, but responses can also be time-consuming.
SNN Edge-AI
SNN Edge-AI solution is a way to do the process on the equipment, with little to no delay and with much less cost of hardware and giving more options like a smart factory, automation, and IoT.
AI in every device (IOT)
