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Olea Sensor Networks is a unique group of highly skilled and experienced engineers dedicated to development of sensor technologies and software for IoT. It all began in 2005 as a research project in the area of life detection and evolved into Olea Systems, Inc. dba as Olea Sensor Networks in 2011. This highly capable and experienced technical team has demonstrated the ability to develop intelligent building blocks for IoT products in as little as 3 months, working for major industry players in the automotive, healthcare and industrial trucks market. Areas of excellence and expertise include IoT embedded systems, sensor analytics, application software, RF & Microwave sensors, mechanical and industrial engineering and most significantly, development of algorithms to add artificial intelligence and machine learning to core technologies.
Below is our interview with Frank Morese, CEO of Olea Systems:
Q: You’ve recently announced the OSN Quadcorder™ Prototype with HeartSignature™; could you tell us something more?
A: The OSN Quadcorder™ is a system that uses the Olea OS-3010 with OleaSense™ software sensor analytics, specifically designed for remote health monitoring and featuring real-time data collection of heart rate, heart rate variability and respiration rate communicated to the Quadcorder™ display on any mobile device, in simple to understand graphs. This data comprises the key components for both predictive analysis and monitoring of many conditions and diseases.
The OSN Quadcorder™ system can be of value to both medical professionals and to individuals who may be interested in monitoring their overall well-being.
Besides its intelligent analytics, the OSN Quadcorder™ system is entirely user-friendly in that that there are no external wires and the data collection device requires no direct contact with the body. Eliminating the fatigue and inconvenience of traditional ECG and halter devices without sacrificing accuracy. In fact, the OSN Quadcorder™ system is as good as or better than some ECG equipment and devices which can often only provide +/- 10% accuracy, an acceptable medical industry standard. The OS-3010 Quadcorder™ system is reliably within 2% accuracy when operated properly.
As for convenience, the device is extremely compact, is smaller than a business card and only about 1 oz. It can be worn externally on a lanyard or simply slipped into a pocket. Manufacturers of medical assistance equipment can even choose to imbed it in a chair or bed.
An additional, and perhaps the most significant differentiator, is the fact that the device is able to identify the user, once enrolled, by utilizing Olea HeartSignature™ technology. This is a composite of the user’s data and remains constant. This biometric signature is non-repeatable through fraudulent means and offers the potential advantage of an additional layer of privacy for enhanced HIPPA compliance when used by healthcare professionals.
Should a customer or manufacturer prefer further customization, the system offers a suite of intelligent sensors in the core OS-3010 device including an accelerometer, magnetometer and tri-axis gyroscope that could be activated, for instance, for reporting balance and fall alert. The system (hardware and software) was designed to make the user possibilities and variations nearly limitless. If you can dream it, we can build it or “turn it on” in the system.
Q: In 2016, Olea Sensor Networks was named one of the Top 20 among the Leading IoT Solution Providers; tell us something more?
A: The team’s outstanding contributions have supported Olea’s success in developing intelligent sensors and analytic software that continue to revolutionize advanced “Internet of Things” (IoT) service solutions for a wide variety of applications targeting Connected Care, Connected Car, and Industrial Safety. In 2016, Olea Sensor Networks was named one of the Top 20 among the Leading IoT Solution Providers by The Technology Headlines Magazine.
Q: How exactly does OleaVision™ technology differentiate between live animate beings and inanimate objects?
A: OleaVision™ technology is unique in life presence detection as it does not rely in any way on motion to detect a person or animal, nor is it simply searching for a heat signature which can trigger as many false positives as a motion sensor. OleaVision responds to the presence of vital signs in the scanned area which is why it is so useful for in-cabin detection of kids and pets left behind in cars and in the industrial environment on forklifts and other equipment. If the individual is motionless or even sleeping, OleaVision™ will detect them and notification can be made via audible alarm or mobile device.
Q: How do you see IoT market developing in the future?
A: The demand in IoT is indisputably for the development of more sensor networks that use machine learning technology to communicate in order to add intelligence or additional intelligence to networks. The applications in healthcare alone are beyond numerous as artificial intelligence and machine learning algorithms add more analytics and diagnostic capabilities to existing research and healthcare systems. No less impressive are the benefits of machine learning to the Transportation, Industrial, Finance and Cyber Security Industries. All totaled, researchers are predicting a $7 Billion IoT market by 2020. It’s really unstoppable.
Q: What are your plans for 2018?
A: Olea Systems really plans to focus on continuing to develop machine learning diagnostics for IoT Connected Care. We see this as the best possible future for both companies involved in healthcare as well as individuals accessing it. Our motivation has always been to develop sensor technologies for safety, security and a better life. What better way than to focus on intelligent, patient and doctor enabled healthcare.
That said, we are interested in continuing to find industry partners to bring our Quadcorder prototype and other technologies to market.