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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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The Arduino Pro Portenta Vision Shield brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly or via Ethernet to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. Features 324x324 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor 100 Mbps Ethernet connector: get your Portenta H7 connected to the wired Internet 2 onboard microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield has been designed to fit on top of the Arduino Portenta family. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Embedded Computer Vision Made Easy Arduino has teamed up with OpenMV to offer you a free license to the OpenMV IDE, an easy way into computer vision using MicroPython as a programming paradigm. Download the OpenMV for Arduino Editor from our professional tutorials site and browse through the examples we have prepared for you inside the OpenMV IDE. Companies across the whole world are already building their commercial products based on this simple-yet-powerful approach to detect, filter, and classify images, QR codes, and others. Debugging With Professional Tools Connect your Portenta H7 to a professional debugger through the JTAG connector. Use professional software tools like the ones from Lauterbach or Segger on top of your board to debug your code step by step. The Vision Shield exposes the required pins for you to plug in your external JTAG. Camera Himax HM-01B0 camera module Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2 x MP34DT05 Length 66 mm Width 25 mm Weight 11 gr For more information, check out the tutorials provided by Arduino here.

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Maker Line is a line sensor with 5 x IR sensors array that is able to track line from 13 mm to 30 mm width. The sensor calibration is also simplified. There is no need to adjust the potentiometer for each IR sensor. You just have to press the calibrate button for 2 seconds to enter calibration mode. Afterwards you need to sweep the sensors array across the line, press the button again and you are good to go. The calibration data is saved in EEPROM and it will stay intact even if the sensor has been powered off. Thus, calibration only needs to be carried out once unless the sensor height, line color or background color has changed. Maker Line also supports dual outputs: 5 x digital outputs for the state of each sensor independently, which is similar to conventional IR sensor, but you get the benefit of easy calibration, and also one analog output, where its voltage represents the line position. Analog output also offers higher resolution compared to individual digital outputs. This is especially useful when high accuracy is required while building a line following robot with PID control. Features Operating Voltage: DC 3.3 V and 5 V compatible (with reverse polarity protection) Recommended Line Width: 13 mm to 30 mm Selectable line color (light or dark) Sensing Distance (Height): 4 mm to 40 mm (Vcc = 5 V, Black line on white surface) Sensor Refresh Rate: 200 Hz Easy calibration process Dual Output Types: 5 x digital outputs represent each IR sensor state, 1 x analog output represents line position. Support wide range of controllers such as Arduino, Raspberry Pi etc. Downloads Datasheet Tutorial: Building A Low-Cost Line Following Robot  

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The Arduino Pro Portenta Vision Shield LoRa brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly via LoRa to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. The shield comes with: a 320x320 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor long range 868/915 MHz LoRa wireless connectivity: get your Portenta H7 connected to the Internet of Things with low power consumption two on-board microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield LoRa has been designed to work with the Arduino Portenta H7. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Specifications Camera Himax HM-01B0 camera module (manufacturer site) Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2x MP34DT05 (datasheet) Connectivity 868/915MHz ABZ-093 LoRa Module with ARM Cortex-M0+ (datasheet) Dimensions 66 x 25 mm Weight 8 g Downloads Datasheet Schematics

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Developing CoAP applications for Thread networks with Zephyr This book will guide you through the operation of Thread, the setup of a Thread network, and the creation of your own Zephyr-based OpenThread applications to use it. You’ll acquire knowledge on: The capture of network packets on Thread networks using Wireshark and the nRF Sniffer for 802.15.4. Network simulation with the OpenThread Network Simulator. Connecting a Thread network to a non-Thread network using a Thread Border Router. The basics of Thread networking, including device roles and types, as well as the diverse types of unicast and multicast IPv6 addresses used in a Thread network. The mechanisms behind network discovery, DNS queries, NAT64, and multicast addresses. The process of joining a Thread network using network commissioning. CoAP servers and clients and their OpenThread API. Service registration and discovery. Securing CoAP messages with DTLS, using a pre-shared key or X.509 certificates. Investigating and optimizing a Thread device’s power consumption. Once you‘ve set up a Thread network with some devices and tried connecting and disconnecting them, you’ll have gained a good insight into the functionality of a Thread network, including its self-healing capabilities. After you’ve experimented with all code examples in this book, you’ll also have gained useful programming experience using the OpenThread API and CoAP.

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The Smart USB Soldering Iron Kit is a compact, cordless solution designed for precision and portability. Featuring intelligent three-speed temperature control (300-450°C) with an easy-to-read LED display, it heats up in just 10 seconds and melts solder in as little as 6 seconds. The 1000 mAh rechargeable battery delivers up to 30 minutes of continuous use, making it ideal for quick repairs, electronics projects, and DIY tasks. With a plug-and-play, replaceable tip and a high-temperature-resistant insulated shell, it’s safe, user-friendly, and perfect for both beginners and professionals on the go. Features Three-Speed Intelligent Temperature Adjustment: Features an LED display screen with adjustable temperatures between 300-450°C (572-842°F). Easily switch between Celsius and Fahrenheit. Integrated Plug-In Soldering Iron Tip: Plug-and-play design. The tip can be replaced by simply unscrewing it, ensuring quick and convenient operation. Safe and Durable Design: High-temperature-resistant, insulated shell for enhanced safety during use. Battery Capacity: Equipped with a rechargeable 1000 mAh battery that supports up to 30 minutes of continuous operation on a full charge – ideal for everyday tasks. Efficient Performance: 8 W power with an integrated heating core for rapid heat-up. Melts tin in just 6 seconds, providing excellent thermal conductivity. Easy to Use: After powering on via USB, set your desired temperature. The soldering iron heats up in 10 seconds. Once finished, place the tip on the stand—it cools down within 1 minute. Perfect for beginners, hobbyists, basic home repairs, and training engineers. Cordless Innovation: This cordless soldering kit includes a built-in rechargeable lithium-ion battery, eliminating the need for cables. Versatile use for circuit board soldering, electrical repairs, jewelry making, metal crafts, computer maintenance, and DIY projects. Specifications Adjustable Temperature: 300-450°C (572-842°F) Tin Melting Time: <15 seconds Working Voltage: 5 V Power Output: 8 W Battery Capacity: 1000 mAh Auto Sleep Function: Activates after 10 minutes of inactivity Charging Time: Approx. 90 minutes Battery Life: Up to 30 minutes continuous use Charging Interface: USB-C Main Material: Aluminum alloy Dimensions: 190 x 16 mm (7.4 x 0.6") Included 1x USB Soldering Iron 1x Soldering Tip 1x Soldering Rosin 1x Soldering Iron Holder (with Sponge) 1x USB-C Charging Cable 1x Solder Wire 1x Storage Box

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40+ Projects using Arduino, Raspberry Pi and ESP32 This book is about developing projects using the sensor-modules with Arduino Uno, Raspberry Pi and ESP32 microcontroller development systems. More than 40 different sensors types are used in various projects in the book. The book explains in simple terms and with tested and fully working example projects, how to use the sensors in your project. The projects provided in the book include the following: Changing LED brightness RGB LEDs Creating rainbow colours Magic wand Silent door alarm Dark sensor with relay Secret key Magic light cup Decoding commercial IR handsets Controlling TV channels with IT sensors Target shooting detector Shock time duration measurement Ultrasonic reverse parking Toggle lights by clapping hands Playing melody Measuring magnetic field strength Joystick musical instrument Line tracking Displaying temperature Temperature ON/OFF control Mobile phone-based Wi-Fi projects Mobile phone-based Bluetooth projects Sending data to the Cloud The projects have been organized with increasing levels of difficulty. Readers are encouraged to tackle the projects in the order given. A specially prepared sensor kit is available from Elektor. With the help of this hardware, it should be easy and fun to build the projects in this book.

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The JOY-iT R301T fingerprint sensor module is capable of image collection and algorithm calculation due to this integrated chip. Another remarkable function of the sensor is, that it can recognize the fingerprint in different conditions, for example humidity, light texture or changes of the skin. This offers a very wide range of possible applications to secure locks and doors among others. The chip can send data via UART, TTL serial and USB to the connected controller. Specifications Model JP2000 sensor Chip 32 Bit ARM Cortex-M3 Chip storage 96 kB RAM, 1 MB Flash Power supply 4.2-6.0 V Working current Typical: 40 mAPeak: 50 mA Logic level 3,3/5 V TTL Logic Fingerprint storage capacity 3000 Prints Matching mode 1:N Identification1:1 Verification Adjustable security level 1 - 5 levels(default security level: 3) False acceptance rate < 0.001%(on security level 3) False acceptance rate < 0.1%(on security level 3) Response time Pre-treatment: < 0.45 sMatch: < 1.5 s Baud rate support 9600 - 921600 UART communication No parity, Stop Bit: 1 Dimensions 42 x 19 x 8 mm Included 1x Fingerprint sensor COM-FP-R301T 1x Cable Downloads Datasheet Manual

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Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards. Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components. With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system. In this Edition Which Microcontroller Fits My Project? The Right Development Environment Tracking Wind and Weather Weather Display with OpenWeatherMap and Vacuum Fluorescent Display Volatile Organic Compounds in the Air We Breathe Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic CO2 Traffic Light with ThingSpeak IoT Connection An Automatic Plant Watering System Good Indoor Climate: Temperature and Humidity are Important criteria Classy Thermometer with Vintage Tube Technology Nostalgic Weather House for the Whole Family Measuring Air Pressure and Temperature Accurately Sunburn Warning Device DIY Sensor for Sunshine Duration Simple Smartphone Says: Fog or Clear View? Identifying Earthquakes Liquid Level Measurement for Vessels and Reservoirs Water pH Value Measurement Detecting Radioactive Radiation GPS: Sensor Location Service Across the Globe Saving and Timestamping Log Files on SD Cards LoRaWAN, The Things Network, and ThingSpeak Operating a LoRaWAN Gateway for TTN Defying "Wind and Weather" Mega Display with Weather Forecasz

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MDP-M01 is a display control module equipped with a 2.8-inch TFT display screen, the screen can be turned 90 degrees, which is convenient for users to view data and waveform. MDP-M01 can realize online display and control with MDP-P906 mini digital power supply modules and other modules of MDP system through 2.4 GHz wireless communication, and can control up to 6 sub-modules at the same time. Specifications Screen size 2.8" TFT Screen resolution 240 x 320 Power Micro USB power input, or taking power from sub-module via dedicated power cable Input DC 5 V/0.3 A Other functions Can control up to 6 sub-modulesUpgrade firmware through Micro USB Dimensions 107 x 66 x 13.6 mm Weight 133 g Included 1x MDP-M01 Smart Digital Monitor 1x Cable (2.5 mm jack to Micro USB) Downloads User Manual v3.4 Firmware v1.32

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Developing CoAP applications for Thread networks with Zephyr This book will guide you through the operation of Thread, the setup of a Thread network, and the creation of your own Zephyr-based OpenThread applications to use it. You’ll acquire knowledge on: The capture of network packets on Thread networks using Wireshark and the nRF Sniffer for 802.15.4. Network simulation with the OpenThread Network Simulator. Connecting a Thread network to a non-Thread network using a Thread Border Router. The basics of Thread networking, including device roles and types, as well as the diverse types of unicast and multicast IPv6 addresses used in a Thread network. The mechanisms behind network discovery, DNS queries, NAT64, and multicast addresses. The process of joining a Thread network using network commissioning. CoAP servers and clients and their OpenThread API. Service registration and discovery. Securing CoAP messages with DTLS, using a pre-shared key or X.509 certificates. Investigating and optimizing a Thread device’s power consumption. Once you‘ve set up a Thread network with some devices and tried connecting and disconnecting them, you’ll have gained a good insight into the functionality of a Thread network, including its self-healing capabilities. After you’ve experimented with all code examples in this book, you’ll also have gained useful programming experience using the OpenThread API and CoAP.

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Build your textbook weather station or conduct environmental research together with the whole world. With many practical projects for Arduino, Raspberry Pi, NodeMCU, ESP32, and other development boards. Weather stations have enjoyed great popularity for decades. Every current and even every long discontinued electronics magazine has regularly featured articles on building your own weather station. Over the years, they have become increasingly sophisticated and can now be fully integrated into an automated home — although this often requires loyalty to an (expensive) brand manufacturer across all components. With your own weather and environmental data, you can keep up and measure things that no commercial station can. It’s also fun: expand your knowledge of electronics, current microcontroller development boards and programming languages in a fun and meaningful way. For less than 10 euros you can get started and record your first environmental data — with time and growing interest, you will continue to expand your system. In this Edition Which Microcontroller Fits My Project? The Right Development Environment Tracking Wind and Weather Weather Display with OpenWeatherMap and Vacuum Fluorescent Display Volatile Organic Compounds in the Air We Breathe Working with MQ Sensors: Measuring Carbon Monoxide — Odorless but Toxic CO2 Traffic Light with ThingSpeak IoT Connection An Automatic Plant Watering System Good Indoor Climate: Temperature and Humidity are Important criteria Classy Thermometer with Vintage Tube Technology Nostalgic Weather House for the Whole Family Measuring Air Pressure and Temperature Accurately Sunburn Warning Device DIY Sensor for Sunshine Duration Simple Smartphone Says: Fog or Clear View? Identifying Earthquakes Liquid Level Measurement for Vessels and Reservoirs Water pH Value Measurement Detecting Radioactive Radiation GPS: Sensor Location Service Across the Globe Saving and Timestamping Log Files on SD Cards LoRaWAN, The Things Network, and ThingSpeak Operating a LoRaWAN Gateway for TTN Defying "Wind and Weather" Mega Display with Weather Forecasz

Read more less