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The Arduino Pro Portenta Cat. M1/NB IoT GNSS Shield allows you to enhance the connectivity features of your Portenta H7 applications. The shield leverages a Cinterion TX62 wireless module by Thales, designed for highly efficient, low-power IoT applications to deliver optimized bandwidth and performance. The Portenta Cat. M1/NB IoT GNSS Shield combines with the strong edge computing power of the Portenta H7 to enable the development of asset tracking and remote monitoring applications in industrial settings, as well as in agriculture, public utilities and smart cities. The shield offers cellular connectivity to both Cat. M1 and NB-IoT networks with the option to use eSIM technology. Easily track your valuables – across the city or worldwide – with your choice of GPS, GLONASS, Galileo or BeiDou. Features Change connectivity capabilities without changing the board Add NB-IoT, CAT. M1 and positioning to any Portenta product Possibility to create a small multiprotocol router (WiFi - BT + NB-IoT/CAT. M1) Greatly reduce communication bandwidth requirements in IoT applications Low-power module Compatible also with MKR boards Remote Monitoring Industrial and agricultural companies can leverage the Portenta Cat. M1/NB IoT GNSS Shield to remotely monitor gas detectors, optical sensors, machinery alarm systems, biological bug traps and more. Technology providers providing smart city solutions can compound the power and reliability of the Portenta H7 with the Portenta Cat. M1/NB IoT GNSS Shield, to connect data and automate actions for a truly optimized use of resources and enhanced user experience. Asset Monitoring Add monitoring capabilities to any asset by combining the performance and edge computing features of the Portenta family boards. The Portenta Cat. M1/NB IoT GNSS Shield is ideal to monitor valuable goods and also for monitoring industrial machinery and equipment. Specifications Connectivity Cinterion TX62 wireless module; NB-IoT - LTE CAT.M1; 3GPP Rel.14 Compliant Protocol LTE Cat. M1/NB1/NB2; UMTS BANDS: 1 / 2 / 3 / 4 / 5 / 8 / 12(17) / 13 / 18 / 19 / 20 / 25 / 26 / 27 / 28 / 66 / 71 / 85; LTE Cat.M1 DL: max. 300 kbps, UL: max. 1.1 Mbps; LTE Cat.NB1 DL: max. 27 kbps, UL: max. 63 kbps; LTE Cat.NB2 DL: max. 124 kbps, UL: max. 158 kbps Short messaging service (SMS) Point-to-point mobile terminated (MT) and mobile originated (MO) Text Mode; Protocol Data Unit (PDU) Mode Localization support GNSS capability (GPS/BeiDou/Galileo/GLONASS) Other Embedded IPv4 and IPv6 TCP/IP stack access; Internet Services: TCP server/client, UDP client, DNS, Ping, HTTP client, FTP client, MQTT client Secure Connection with TLS/DTLS Secure boot Dimensions 66 x 25.4 mm Operating temperature -40° C to +85° C (-104° F to 185°F) Downloads Datasheet Schematics

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Computer vision is probably the most exciting branch of image processing, and the number of applications in robotics, automation technology and quality control is constantly increasing. Unfortunately entering this research area is, as yet, not simple. Those who are interested must first go through a lot of books, publications and software libraries. With this book, however, the first step is easy. The theoretically founded content is understandable and is supplemented by many practical examples. Source code is provided with the specially developed platform-independent open source library IVT in the programming language C/C++. The use of the IVT is not necessary, but it does make for a much easier entry and allows first developments to be quickly produced. The authorship is made up of research assistants of the chair of Professor Ruediger Dillmann at the Institut für Technische Informatik (ITEC), Universitaet Karlsruhe (TH). Having gained extensive experience in image processing in many research and industrial projects, they are now passing this knowledge on. Among other subjects, the following are dealt with in the fundamentals section of the book: Lighting, optics, camera technology, transfer standards, camera calibration, image enhancement, segmentation, filters, correlation and stereo vision. The practical section provides the efficient implementation of the algorithms, followed by many interesting applications such as interior surveillance, bar code scanning, object recognition, 3-D scanning, 3-D tracking, a stereo camera system and much more.

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