OleaVision™ and OleaVision360™, Autonomous Sensors for
 Life Presence Detection, Technology Information Sheets

Non-Contact Life Presence Detection Development Platforms

Now available for technology licensing

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Autonomous sensor for Life Presence Detection, OleaVision360™

The new gen OleaVision™️ Life Presence Detection development platforms for IoT safety applications (OS-8005, OS-9005) feature a designs consisting of a FMCW 24GHz radar sensor that are compatible for indoor and outdoor applications. These powerful low-cost development platforms host Olea’s latest machine learning algorithms that enable the sensor to discriminate between animate and inanimate objects within milliseconds at up to 10-meter range in a variety of environments and in a 360 degree view (OS-9005). The OleaVision™️ development platforms can be modified, optimized and integrated seamlessly into any industrial equipment safety system.

Boundary Security

OleaVision development platforms also offer the ability to define parameters for defined and undefined boundaries in both safety and security applications including border security, industrial boundary security and safety zones, autonomous navigational applications and security or detection within a defined space such as the interior of a room or automobile.

The OS-8005 and OS-9005 have an integrated assembly to provide optimal performance in a compact size. The sensors can be installed and quickly mounted on any equipment without requiring any mechanical modification or assembly in order to position them on the exterior of the equipment for optimal field of view. These prototype sensors can be ruggedized to handle vibration caused by motion in vehicle.


Remote Monitoring

These sensor systems have the ability to communicate data wirelessly via Bluetooth to tablet, mobile phone or PC. Finally, they are also able to communicate to a Windows PC, Android or IOS platform for further analytics and data processing.

The software is architected to be user-friendly, to be modular, and to have intuitive user interfaces for sensor output presentation as well as for real-time alerts to a smart phone as appropriate or required. This is accomplished through the novel use of OLEA’s human presence detection monitoring technologies. Download the Data Sheets for OleaVision™️ and OleaVision360™️.

OleaVision™️ Technology

OleaVision™️ is a novel human presence detection and ranging technology using FMCW radar sensor that operates at 24GHz. For indoor and outdoor scenarios, FMCW radar transmission is a promising technology, due to its high-resolution ranging and obstacle penetration capabilities. The system utilizes an FMCW micro Doppler radar sensor with advanced detection algorithms that does not require a training database of template waveforms. Instead, the method capitalizes on the fact that a human presence induces small low-frequency variations that stand out against the background signal, which is mainly affected by wideband noise. With advanced machine learning and human presence detection algorithms, the system is able to analyze the environment and adapt to enhance the detection probability for indoor and outdoor environments.

Microwave Doppler radar used in OleaVision™️ technologies has the capability of monitoring respiration at up to 5 meters detection range. Doppler radar achieves this by detecting mechanical displacements of the chest cavity on the order of millimeters resulting from shock waves due to heart motion. This is known as Radar Seismocardiogram (R-SCG). The OLEA system is based on two main components: the radar sensor and the signal-processing unit (SPU) that processes the sensor data in real time.

The basic principle of a FMCW Doppler radar sensor is that reflections from moving targets result in frequency shifts, while reflections from stationary clutter result only in DC offset. There are also inter-individual differences in the detection of physiological signals due to the inherent physiological differences in the magnitude of the mechanical displacements of the torso and the relative positioning of the sensor respect to the torso. A typical human torso’s displacements due to respiration ranges from 0.1mm to several millimeters depending upon the subject (Singh & Rmachandran, 1991).

A key aspect of OLEA’s technologies are the ability to detect patterns using advanced algorithms that extract the key attributes or features of the signals to produce the relevant statistical data for accurate detection of life forms generated from people and animals.