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A multi-axis robot perfectly balances power and size Features 5 Axis Payload: 3 kg Reach: 700 mm Repeatability: 0.1 mm Max Speed 1000 mm/s Applications Machine Tending Bin Picking Mobile platform Lab Automation Robotic Research Durable Collaborative robots for your automation Industrial-grade harmonic drive and servomotors guarantee 24/7 working without stop. Crafted from Carbon fiber, 15 kg weight makes it possible for easier deployment. Flexible deployment with safe feature Hand teaching, lightweight, space-saving and easy to re-deploy to multiple applications without changing your production layout. Perfectly for recurrent tasks. Collision detection is available for all of our cobots. Your safety is always the top priority. Graphical interface for beginner-friendly programming Compatible with various of operation systems, including macOS and Windows. Web-based technology compatible with all major browsers. Drag and drop to create your code in minutes. Powerful and open source SDK at your fingertips Fully functional open-source Python/C++ SDK provides more flexible programming. ROS/ROS2 packages are ready-to-go. Example codes help you to deploy the robotic arm smoothly. Specifications UFactory 850 xArm 5 xArm 6 xArm 7 Payload 5 kg 3 kg 5 kg 3.5 kg Reach 850 mm 700 mm 700 mm 700 mm Degrees of freedom 6 5 6 7 Repeatability ±0.02 mm ±0.1 mm ±0.1 mm ±0.1 mm Maximum Speed 1 m/s 1 m/s 1 m/s 1 m/s Weight (robot arm only) 20 kg 11.2 kg 12.2 kg 13.7 kg Maximum Speed 180°/s 180°/s 180°/s 180°/s Joint 1 ±360° ±360° ±360° ±360° Joint 2 -132°～132° -118°～120° -118°～120° -118°～120° Joint 3 -242°~3.5° -225°~11° -225°~11° ±360° Joint 4 ±360° -97°~180° ±360° -11°～225° Joint 5 -124°~124° ±360° -97°~180° ±360° Joint 6 ±360° ±360° -97°~180° Joint 7 ±360° Hardware Ambient Temperature Range 0-50°C Power Consumption Min 8.4 W, Typical 200 W, max 400 W Input Power Supply 24 V DC, 16.5 A Footprint Ø 126 mm Materials Aluminum, Carbon Fiber Base Connector Type M5x5 ISO Class Cleanroom 5 Robot Mounting Any End Effector Communication Protocol Modbus RTU(rs485) End Effector I/O 2x DI/2x DO/2x AI/1x RS485 Communication Mode Ethernet Included 1x xArm 5 robotic arm 1x AC control box 1x Robotic arm power cable 1x Robotic arm end effector adapter cable 1x Robotic arm signal cable 1x Control box power cable 1x Network cable 1x Mounting tool 1x Quick start guide

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39 Experiments with Raspberry Pi and Arduino This book is about Raspberry Pi 3 and Arduino camera projects. The book explains in simple terms and with tested and working example projects, how to configure and use a Raspberry Pi camera and USB based webcam in camera-based projects using a Raspberry Pi. Example projects are given to capture images, create timelapse photography, record video, use the camera and Raspberry Pi in security and surveillance applications, post images to Twitter, record wildlife, stream live video to YouTube, use a night camera, send pictures to smartphones, face and eye detection, colour and shape recognition, number plate recognition, barcode recognition and many more. Installation and use of popular image processing libraries and software including OpenCV, SimpleCV, and OpenALPR are explained in detail using a Raspberry Pi. The book also explains in detail how to use a camera on an Arduino development board to capture images and then save them on a microSD card. All projects given in this book have been fully tested and are working. Program listings for all Raspberry Pi and Arduino projects used in this book are available for download on the Elektor website.

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TurtleBot 4 is the next-generation of the world’s most popular open source robotics platform for education and research, offering better computing power, better sensors and a world class user experience at an affordable price point.TurtleBot 4 Lite is equipped with an iRobot Create 3 mobile base, a powerful Raspberry Pi 4 running ROS 2, OAK-D spatial AI stereo camera, 2D LiDAR and more. All components have been seamlessly integrated to deliver an out-of-the-box development and learning platform.Specifications Base platform iRobot Create 3 Wheels (Diameter) 72 mm Ground Clearance 4.5 mm On-board Computer Raspberry Pi 4 (4 GB) Maximum linear velocity 0.31 m/s in safe mode0.46 m/s without safe mode Maximum angular velocity 1.90 rad/s Maximum payload 9 kg Operation time 2h 30m – 4h depending on load Charging time 2h 30m Lidar RPLIDAR A1M8 Camera OAK-D-Lite User Power VBAT @1.9 A5 V @ Low current3.3 V @ Low current USB Expansion 2x USB 2.0 (Type A)2x USB 3.0 (Type A) Programmable LEDs Create 3 Lightring Buttons and Switches 2x Create 3 User buttons1x Create 3 Power Button Battery 26 Wh Lithium Ion (14.4 V nominal) Charging Dock Included Size (L x W x H) 342 x 339 x 192 mm Weight 3.3 kg DownloadsUser Manual

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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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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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Small Thermal Imaging CameraAn Arduino UNO-Based DIY Solution Project Update #3: ESP32-Based Energy MeterIntegration and Testing with Home Assistant 2024: An AI OdysseyEnhancing Object Detection: Integrating Refined Techniques Raspberry Pi Goes AINew Kit Incorporates M.2 HAT+ With AI Accelerator Weather Station SensorsWhich One Should You Choose? AI-Based Water Meter Reading (1)Get Your Old Meter Onto the IoT! A GSM AlarmHarnessing GSM Technology for Remote Garage Safety Low-Power Thread Devices Optimized and ScrutinizedLow Power … Low Effort? From Life’s ExperienceThe Gender Gap DIY Cloud ChamberMaking Invisible Radiation Visible SparkFun Thing Plus MatterA Versatile Matter-Based IoT Development Board IoT RetrofittingMaking RS-232 Devices Fit for Industry 4.0 Enabling IoT with 8-Bit MCUs Technology Drives SustainabilityAdvances Lead to More Efficient Use of Energy in Many Applications AWS for Arduino and Co. (1)Using AWS IoT ExpressLink in Real Life Airflow Detector Using Arduino OnlyNo External Sensors Needed! Water Leak DetectorConnected to Arduino Cloud CrystalsPeculiar Parts, the Series Universal Garden LoggerA Step Towards AI Gardening Analog 1 kHz GeneratorSine Waves with Low Distortion Miletus: Using Web Apps OfflineSystem and Device Access Included! From 4G to 5GIs It Such an Easy Step? Starting Out in Electronics……Balances Out

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. An Autonomous Sensor NodeLoRa-Based Data Transmission and Power by Solar Cells Elektor eXpansion Board v1.0For ESP32-S3 and other XIAO controller boards Model Railroad with CameraInstalling an ESP32 CAM Module Broadband Magnetic Antenna for Long WaveMultiple Channels Without Tuning TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View A Hub for RS-422 and RS-485 DevicesWire Your Bus Like a Star RF ProbeWith LED Bar Graph Starting Out in Electronics……Reviews More Opamp Circuits Open VarioThe Open-Source Multifunction Variometer for Paragliding From Life’s ExperienceAbout Taking Things for Granted AI-Based Water Meter Reading (Part 2)Get Your Old Meter Onto the IoT! ML-Based Pest DetectionSmart Agriculture Device With IoT Connectivity Why Anybus CompactCom Is the Ideal Choice for Embedded Industrial Communication IQRF Communication StandardReliability for Lossy, Low-Rate Wireless Mesh Networks How to Build a Smart Agricultural RobotEssential Technical Considerations and Challenges Audio Notch Filter with Adjustable FrequencyUniversal Solution for Suppressing Frequencies in Audio Applications The LeoINAGPS SystemGets Useful Insights on Your Electric Vehicle Solar-Powered LoRa NodeA Modular, Compact, and Versatile IoT Solution AWS for Arduino and Co. (2)Sending Data Using AWS IoT ExpressLink Err-lectronicsCorrections, Updates, and Readers’ Letters 2024: An AI OdysseyDesktop Versus Embedded Accelerators: A Look at Some Options ESP32 Range ExtenderA Simple Antenna Modification

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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