![]() The experimental resultsĭemonstrate the superior effectiveness of the proposed framework. We conduct extensive experiments on a public WiFiĭataset and a public millimeter wave radar dataset. Furthermore, we apply a confidence control constraint to tackle the Methods by randomly erasing the input data to enhance the robustness of the Specifically, we apply pseudo labeling and consistency regularization withĮlaborated design on target domain data to produce pseudo labels and align Recognition by making effective use of the unlabeled target domain data. We propose an unsupervised domain adaptation framework for device free gesture Performance degradation when applied to a new domain. Recognition with data collected from a specific domain suffer from significant However, neural network models trained for OmniPreSense is a Techstars funded company.Download a PDF of the paper titled Unsupervised Domain Adaptation for Device-free Gesture Recognition, by Bin-Bin Zhang and 4 other authors Download PDF Abstract: Device free human gesture recognition with Radio Frequency signals hasĪttained acclaim due to the omnipresence, privacy protection, and broadĬoverage nature of RF signals. The OPS243 can be ordered from the company website or from its distribution partners, Mouser, RobotShop and Acroname.īased in San Jose, Calif., OmniPreSense provides short range radar for sensing a safer world. The OPS243 is priced at $209 in single unit quantities and will ship in June. The OPS243 brings a new level of performance and functionality which allows traffic to monitored everywhere.” “Smart Cities need better solutions to monitor traffic for more efficient traffic flow and making the roads safer. “Traffic and speeding are an increasing problem for cities resulting in lost time, lower productivity, and lost lives,” stated Rob Frizzell, CEO and co-founder of OmniPreSense. ![]() The same simple API found in other OmniPreSense radar sensors is utilized. Power consumption is reduced to as low as 0.1 W, enabling battery operation in remote locations. All signal processing is done on the board and a simple API reports out over USB or UART interface serial port. Clear Way OEMSensors Contact ROS Compatibility Introducing ROS compatibility for OEMSensors Navtechs high definition, robust sensors are now compatible with ROS, the Robot Operating System, allowing raw data from the radar to be extracted and subscribed directly from the ROS platform. ![]() Detection range is from 1-100m for people or cars. Armed with this data they can better optimize operations for improved traffic flow, safety and energy efficiency.įuture versions of the OPS243 will provide wireless communication options, simplifying the passing of traffic data to the cloud for further analysis. The OPS243-A is a long range Doppler radar sensor capable of detecting motion, speed, and direction of objects in it's field of view. Customers can easily implement a traffic monitoring solution to better understand traffic flows in front of the sensor. OmniPreSense makes use of the additional data, incorporating a simple counting algorithm. The OPS243 can see cars and trucks up to 100 m away and has a tight 20° beam width, allowing it to look farther down two-lane roads and providing more data points for analysis. In addition, the OPS243 will carry full FCC/IC modular certification, lowering system costs and time to market. This makes the OPS243 an ideal solution for vehicle and people traffic monitoring in Smart City applications. The OPS243 provides 4x the detection range of its predecessor, the OPS242, and includes a unique object counting algorithm. ![]() announces its newest radar sensor for traffic monitoring with detection distances up to 100 m (328 ft). ![]()
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