Panasonic has announced its entry into the realm of Wi-Fi 6 technology with the launch of PAN9019 and PAN9019A wireless modules. These modules, built on NXP’s IW611 and IW612 chips respectively, mark a leap forward in wireless connectivity solutions.
The PAN9019 module boasts Wi-Fi 6 and Bluetooth 5.3 capabilities. Meanwhile, the PAN9019A module extends its functionality further with the addition of 802.15.4 compatibility, enabling seamless integration with Thread and Zigbee protocols. This versatility ensures that these modules cater to a wide array of applications, including EV charging, heat pumps, smart home devices, industrial automation/equipment, and medical equipment.
To further enhance customisation and flexibility, Panasonic Industry provides an approved antenna list featuring three different antenna types. Customers can choose from a selection of antennas offered by leading players in the industry, including TDK, AVX/Kyocera, Taoglas, and 2J.
Moreover, each evaluation kit comes equipped with a FXP830 pre-certified flex PCB antenna from Taoglas, guaranteeing optimal performance out of the box.
Samples and evaluation tools for the PAN9019 and PAN9019A modules are readily available, enabling customers to experience the performance and versatility firsthand.
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New adapter board from Rutronik for radar-based applications in distance measurement and people detection
Reliable solutions for distance measurement as well as people and surface detection play a key role in IoT applications. With the RAB3, Rutronik System Solutions are expanding their board family with an Adapter Board to test the use of a fully integrated module as well as the possibility of a discrete development. By accelerating the pre-development phase and reducing costs, the RAB3 helps to bring radar-based applications to market faster.
IoT control applications have become a trend and with it the demand for sensing devices to collect information. Here radar sensing is highly robust and stable with respect to external conditions such as temperature changes and ambient light. “Furthermore, radar detects motion, but does not use the actual images, thus providing a real privacy benefit. With our RAB3, you benefit from a development environment to test compact and lower power radar applications,” notes Stephan Menze, Head of Global Innovation Management at Rutronik.
The Nisshinbo 60 GHz Smart Sensor Micro-Module offers a non-contact and highly accurate measurement solution. Radar sensing at 60 GHz is a non-contact and highly accurate measurement solution. This is beneficial for realising applications for distance measurement or people counting with the distance, angle, and state detection sensor using 60 GHz band millimetre wave. With the Infineon XENSIVTM 60 GHz Radar Sensor, a discrete radar IC complements the latest radar technology provided with the RAB3 to work on your application. Thanks to its small form factor and low power consumption, this 60GHz radar sensor comes with one transmitting and three receiving antennas. The L-shaped antenna can be used for array, horizontal, and vertical angular measurement. This enables advanced radar sensing.
Thanks to the Arduino interface, the RAB3 is easy to combine with all other Base Boards and Adapter Boards from Rutronik System Solutions. The modular concept opens up various development approaches that you can implement quickly, cost-effectively, and simply, but in a technically sophisticated way. By combining the RAB3 with the Base Board RDK3, it is possible to implement both detection without privacy issues and also in badly lit and dark surroundings and localized use via Bluetooth Low Energy, which is sufficient for some applications such as people detection and presence detection in factories, conference and exhibitions halls, shopping malls or similar. It is also possible, for example, to connect it to the Text To Speech Adapter Board, which is based on Epson core hardware and software. This second Adapter Board makes it then possible to use the voice output to communicate that a maximum of people are in a room or hall. With the Text To Speech Adapter Board up to twelve languages can be realized as voice output.
Arrow Edge AI engineering services launches to boost support for advanced device development
Arrow Electronics is strengthening support for customers seeking to accelerate their embedded applications with artificial intelligence and machine learning by launching Arrow Edge AI engineering services. The resources include engineering consultancy, technical training, design services, ready-to-use software, and a curated selection of vendor-specific and independent tools.
“Analysts say AI will be one of the biggest technologies of the coming decade. In fact, AI algorithms are already embedded in many consumer and industrial applications and are an essential ingredient for reaching the latest performance and power efficiency targets,” said Morten Block, marketing director EMEA, Arrow Electronics. “Developing AI applications to run on edge computing platforms is no trivial task, so Arrow Edge AI engineering services is here to handle the challenges. With solutions for every stage of the development lifecycle, we help our customers keep their projects on track, from initial analysis and determining the right approach, to algorithm development, model training, optimisation, and deployment.”
Edge AI represents numerous opportunities for product developers to create innovative products, such as wearables, IoT gateways, smart sensors, autonomous machines, and others, to be deployed throughout factories, cities, homes, smart buildings, agriculture, utility networks, and retail. In addition to increasing performance and efficiency, edge AI can also enhance security and relieve dependence on continuous network connectivity.
The Arrow Edge AI engineering services portfolio covers the spectrum of edge AI applications, including object detection, facial recognition, industrial inspection, voice control, sound analysis, and touch sensing.
In addition to consulting and design assistance, Arrow Edge AI engineering services will offer extensive training, including AI theory, algorithm development, modelling, software tools, and applications such as predictive maintenance. Accessible through an online hub, the service will also provide learning resources, articles and videos to help users achieve their goals.
Intel’s RealSenseTM ID access solution now at Rutronik
With Intel’s RealSenseTM ID, Rutronik offers a facial recognition solution based on state-of-the-art image processing technology and AI. It provides highly reliable authentication regardless of factors such as skin colour or lighting conditions. The combination of an active stereo depth sensor and a specialised neural network guarantees an intuitive and secure solution, that continues to optimise itself through constant learning processes and recognises people even if they change over time. Facial recognition has protective mechanisms to prevent unauthorised use. Intel’s solution is therefore predestined for use at access controls, ATMs or kiosks.
The Intel RealSenseTM ID F450 is an embedded facial authentication module based on a closed-loop real-time operating system (RTOS) with neural network algorithms. It integrates the optical components and processing hardware to integrate high-performance, localised facial authentication capabilities into new and existing product types. The Intel RealSenseTM ID F450 Module is ideal for custom designs with an excellent price-performance ratio and tighter integration possibilities in various form factors. The Intel RealSenseTM ID F455 is a ready-to-use peripheral device with the F450 module already integrated, perfect for integration out-of-the-box.
An active depth sensor projects an infrared pattern that enables accurate identification even in poor lighting conditions and authenticates in less than a second. The camera allows interaction from different angles for people between 120 cm and 190 cm at a distance of 55 cm, making it easy to use for children to tall adults. Due to Anti-spoofing the person in front of the camera is recognised with 99.75% certainty. The authentication solution thus protects against attacks using photos, videos or 3D masks.
The various components interlock in such a way that they reliably guarantee security, data protection, reliability and speed. Facial recognition does not store images of faces, but captures facial impressions that are unique to a person’s face – similar to fingerprints – and uses AI software to create a match with a false acceptance rate (FAR) of 1:1,000,000. To protect privacy, however, the facial impressions cannot be reconstructed into a face.
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