LENS was designed to bring flexible, AI-enabled data collection and analysis to rugged environments at the extreme edge. LENS enables condition-based maintenance (CBM) programs to capture the promise of AI machinery optimization.

AI-optimized hardware: LENS utilizes a highly optimized processor capable of running convolutional neural networks (CNNs) with extremely fast inference times and ultra-low power consumption to support real-time analysis of high-frequency CBM data.

Scalability: LENS performs analysis at the source of data collection, ensuring only analysis results and relevant data segments are sent over the network. This dramatically reduces the bandwidth and storage infrastructure required to enable CBM monitoring across many assets.

Modular Design: LENS combines a primary processor “motherboard” with three modular “daughterboards” that can include any combination of sensor modalities and wired or wireless network interfaces—allowing the basic LENS design to support nearly limitless configurations.

Adaptability: The combination of optimized processing, point-of-collection data analysis, and a modular design that can support a variety of data modalities and network configurations means LENS can operate as a standalone CBM device or as a more powerful endpoint for existing CBM systems.