Industrial AI provider Augury has unveiled the next generation of its Machine Health sensing platform with the release of the Halo R4000 series of sensors. The Halo R4000 series is designed to address challenges in implementing new monitoring technologies, including device management, network recovery, and other non-value-added tasks. Halo R4000 is an edge-AI-capable, industrial-grade machine health sensor featuring smart diagnostics, self-healing connectivity, and protection to extreme environments.

The Halo R4000 series features a triple combo of IP66/68/69 ratings and pressure-activated double O-ring seals to ensure resilience in heavy washdown environments. These new sensors and Augury’s AI advancements further expand the types of machines that can be monitored to include non-steady load/speed machines (like overhead cranes and log debarkers), low RPM/slow rotating machines (between 150 – 300 RPM), and high rotating machines that endure high g-force (up to 40G).

The R4000 series sensors are integrated with the Cassia industrial Bluetooth X-2000 gateway, and are able to support up to 40 Halo sensors per gateway. This combination provides edge-AI computational capabilities across every layer of a manufacturer’s Machine Health tech stack – in the gateway, the sensor, and the cloud. According to Augury, this integration helps reduce latency and enables reliable AI everywhere across the industrial automation environment.

Augury’s new IoT system enables new AI-diagnostic capabilities such as sensor fusion, which combines millisecond-level vibration, magnetic, and temperature samples to enable capabilities like phase analysis. With new auto-baseline functionality, Augury’s AI will automatically determine a machine’s condition within 48 hours of sensor installation. Sampling capabilities are tailored to match a machine’s operating condition and optional on-demand sampling can be conducted to verify machine condition for single use cases.

Augury has also announced its new HexaLock sensor mounting system, which is designed for both greenfield and brownfield environments. HexaLock mounts will streamline sensor-related tasks while ensuring data quality for maintenance and reliability teams and represent the first step toward standardising sensing placement to optimise AI-driven monitoring and analytics.

“To be truly reliable in an industrial setting, AI must go beyond monitoring the machine and extend to the IoT network as well,” said Saar Yoskovitz, co-founder and CEO of Augury. “To meet that demand, Augury is infusing AI into every layer of the Predictive Maintenance stack, from the sensor to the gateway and into the cloud, to power everything from self-healing network architectures to edge-AI capabilities so companies can cover more equipment. The addition of the groundbreaking Halo R4000 series sensor unlocks hybrid-AI prescriptive diagnostics to provide reliable and actionable insights at any time, in your most difficult operating environments.”