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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden.Nog geen lid? Klik hier om een lidmaatschap af te sluiten. Voor ogen en oren Video-output met microcontrollers (1)Composiet Video electronica 2022nieuws van 's werelds grootste elektronicabeurs ESP32-camerazo simpel – heeft niet eens WiFi ATX-voeding voor Raspberry Pi 32 Ω KoptelefoonversterkerEenvoudige maar hoogwaardige 3-chip oplossing SDR-radioklokkenvijf tijdsignalen, zes displays Alle begin......zet een streep onder de diode Uit het leven gegrepenover de kwaliteit der dingen Reverse-engineering van een Bluetooth Low Energy LED-badgeeen BLE-apparaat besturen met een Python-script MakePython ESP32 Development KitAlles in een doosje THD-meting met een oscilloscoop en FFTgemakkelijke berekening van de vervormingsfactor Allesziende machinesde technologie achter moderne industrële visionsystemen Infographics De evolutie van spraak- en audiogestuurde elektronische apparaten WEEF 2022 terugblik FFWD elektronica 2022 terugblikde vernieuwers hebben niet nagelaten indruk te maken The Tubeeen ongebruikelijke buizenversterker Biomateriaal in elektronica: klaar of niet De Opera Cake antenne switch voor HackRF OneSluit tot acht antennes aan op uw SDR Engineering met de Arduino, en meerEen interview met auteur Ashwin Pajankar LiDAR-precisiemetermeet tot 12 meter Audiosignalen en de ESP32De ESP-ADF-omgeving in de praktijk Elektor Fortissimo-100 einversterker-kit Lichtgestuurde geluidseffectenSpanningsgestuurd 24 dB/oct synthesizerfilter (VCF) met LDR's De kilo-watter van Elektuurmeer volume gaat niet! Oost West Lab Besteen volumetrisch display in Canada Project 2.0Correcties, Updates en Brieven van lezers Hexadoku

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. Pour les yeux et les oreilles sortie vidéo sur les microcontrôleurs (1)vidéo composite electronica 2022nouvelles du plus grand salon mondial de l?électronique caméra ESP32si simple qu?on n?a même pas besoin du wifi alimentation ATX pour Raspberry Pi amplificateur pour casque 32 ?une solution simple mais de qualité à trois CI horloges radiocommandées SDRcinq signaux horaires, six affichages démarrer en électroniquediodes spéciales sur le viferrances qualitatives rétro-ingénierie d?un badge LED Bluetooth Low Energycomment commander un appareil BLE avec un script Python kit de développement MakePython ESP32tout dans une boîte mesure du THD avec un oscilloscope et une FFTcalculer facilement le facteur de distorsion machines à vision totalela technologie derrière les systèmes de vision industrielle d?aujourd?hui Infographies l?évolution de la commande vocale et audio des appareils électroniques bilan du WEEF 2022 bilan du salon electronica 2022les innovateurs n?ont pas manqué d?impressionner The Tubeun surprenant amplificateur à tubes à quand des biomatériaux pour l?électronique?? commutateur d?antenne Opera Cake pour HackRF Oneconnectez jusqu'à huit antennes à votre SDR concevoir avec Arduino et plusentretien avec l?auteur Ashwin Pajankar jauge de longueur à lidarmesure jusqu?à 12 m les signaux audios et l?ESP32l?environnement ESP-ADF en pratique Kit amplificateur de puissance Fortissimo-100 d?Elektor utiliser la lumière pour les effets sonoresfiltre synthétiseur à base de LDR, contrôlé en tension, 24 dB/oct amplificateur Hi-Fi d?Elektorle plus bruyant de tous?! visite à domicileafficheur volumétrique made in Canada projet 2.0corrections, mises à jour et courriers des lecteurs Hexadoku

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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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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. For Eyes and Ears Video Output with Microcontrollers (1)Composite Video electronica 2022News from the world’s leading electronics trade show ESP32 CameraSo Simple, It Doesn’t Even Have to Use Wi-Fi ATX Power Supply for Raspberry Pi 32 Ω Headphone AmplifierSimple But High-Quality 3-Chip Solution SDR Radio-Controlled clocksFive Time Signals, Six Displays Starting Out in ElectronicsSpecial Diodes From Life's ExperienceMusings on the Quality of Things Reverse-Engineering a Bluetooth Low Energy LED BadgeHow to Control a BLE Device with a Python Script MakePython ESP32 Development KitEverything in a Box THD Measurement with an Oscilloscope and FFTEasily Calculate the Distortion Factor All-Seeing MachinesThe Technology Behind Today’s Industrial Vision Systems Infographics The Evolution of Voice and Audio Control for Electronic Devices WEEF 2022 in Review FFWD electronica 2022 in ReviewInnovators Did Not Fail to Impress The TubeAn Unusual Tube Amplifier Biomaterial in Electronics: Ready or Not Opera Cake Antenna Switch for HackRF OneConnect Up To Eight Antennas To Your SDR Engineering with Arduino and MoreAn Interview with Author Ashwin Pajankar LiDAR Precision GaugeMeasure up to 12 Meters Audio Signals and the ESP32The ESP-ADF Environment in Practice Elektor Fortissimo-100 Power Amplifier Kit Using Light for Sound EffectsLDR-Based Voltage-Controlled 24 dB/oct Synthesizer Filter Elektor High-Power AF AmplifierThe Loudest of Them All! HomeLab ToursA Volumetric Display Made in Canada Err-lectronicsCorrections, Updates and Readers’ Letters Hexadoku

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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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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go2 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Pro 1x Unitree Go2 Battery (8000 mAh) Downloads Documentation iOS/Android apps GitHub

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Program, build, and master over 60 projects with Python The Raspberry Pi 5 is the latest single-board computer from the Raspberry Pi Foundation. It can be used in many applications, such as in audio and video media centers, as a desktop computer, in industrial controllers, robotics, and in many domestic and commercial applications. In addition to the well-established features found in other Raspberry Pi computers, the Raspberry Pi 5 offers Wi-Fi and Bluetooth (classic and BLE), which makes it a perfect match for IoT as well as in remote and Internet-based control and monitoring applications. It is now possible to develop many real-time projects such as audio digital signal processing, real-time digital filtering, real-time digital control and monitoring, and many other real-time operations using this tiny powerhouse. The book starts with an introduction to the Raspberry Pi 5 computer and covers the important topics of accessing the computer locally and remotely. Use of the console language commands as well as accessing and using the desktop GUI are described with working examples. The remaining parts of the book cover many Raspberry Pi 5-based hardware projects using components and devices such as LEDs and buzzers LCDs Ultrasonic sensors Temperature and atmospheric pressure sensors The Sense HAT Camera modules Example projects are given using Wi-Fi and Bluetooth modules to send and receive data from smartphones and PCs, and sending real-time temperature and atmospheric pressure data to the cloud. All projects given in the book have been fully tested for correct operation. Only basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full Python program listings are given for all projects described.

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. un nœud de capteurs autonometransmission de données basée sur LoRa et alimentation en énergie par cellules solaires la carte eXpansion V1.0 d'Elektorpour ESP32S3 et autres cartes XIAO une caméra dans un train miniatureinstallation d’un module ESP32 CAM antenne magnétique à large bande pour les grandes ondestous les émetteurs sans aucun accord TensorFlow Lite pour microcontrôleurspar un débutant, pour les débutants un concentrateur pour les appareils RS-422 et RS-485câbler votre bus comme une star sonde RFWith LED Bar Graph démarrer en électronique...…plus de montages à ampli-op Open Variovariomètre multifonction open source pour vol en parapente sur le vifÀ propos de prendre les choses pour acquises relevé des compteurs d'eau basé sur l'IA (Partie 2)intégrez votre ancien compteur dans l'IdO ! agriculture intelligentedétection des nuisibles basée sur l’apprentissage machine avec connectivité IdO Anybus CompactCom est le choix idéal pour la communication industrielle embarquée – voici pourquoi norme de communication IQRFfiabilité des réseaux maillés sans fil à faible débit avec perte comment construire un robot agricole intelligentquelles sont les considérations essentielles que les concepteurs de robots agricoles doivent prendre en compte et à quels défis techniques sont-ils confrontés ? filtre coupe-bande audio à fréquence réglablesolution universelle de suppression de fréquences dans le domaine audio le système LeoINAGPSsurveillez votre véhicule électrique nœud LoRa alimenté par énergie solaireune solution IdO modulaire, compacte et polyvalente AWS pour Arduino et cie. (2)transmission de données avec AWS IoT ExpressLink projet 2.0corrections, mises à jour et courrier des lecteurs 2024 : l'odyssée de l'IAexamen des Accélérateurs IA : comparaison extension de couverture Wi-Fi sur ESP32comment modifier simplement une antenne

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UNDERSTANDING THE NEURONS IN NEURAL NETWORKS (PART 1)Artificial Neurons EMC PRE-COMPLIANCE TEST FOR YOUR DC-POWERED PROJECT (PART 1)Dual DC LISN ELECTRONIC LOAD FOR DC AND ACUp to 400 V and 10 A (Peak) STARTING OUT IN ELECTRONICSEasier Than Imagined! ...Taking on the Choke! IMAGE PROCESSING WITH THE NVIDIA JETSON NANO (PART 1)The Hardware and Software AN IN-DEPTH LOOK AT MAINS TRANSFORMERSHow Do They Behave When They Are Switched On and Off? YES WE CAN WITH PICAN 3A CAN Bus HAT for the Raspberry Pi 4 BALCONY POWER PLANTDIY Solar Balcony = Speedy Payback! IMAGING AND VIDEO-STREAMING WITH A RASPBERRY PI 4The Raspberry Pi High-Quality Camera in Practice USING DISPLAYS IN RASPBERRY PI PROJECTSSample Chapter: Organic Light Emitting Diode Displays (OLED) HANDS ON THE PARALLAX PROPELLER 2 (PART 4)Sending Strings ELEKTOR @ 60A Look Back at Previous Septembers HOMELAB TOURSIn the Friesian Countryside, Where the Tubes Bloom ... HYBRIDSPeculiar Parts, the series A COMPASS ROSE USING THE GY-271Or Why We Move in Figures of Eight to Calibrate a Sensor FINDING YOUR FOOTPRINTCalculate the Carbon Footprint of Your Electronics ESP32-CONNECTED THERMOSTATKeep Your Wine at the Right Temperature! MAGNETIC LEVITATION THE DIGITAL WAYESP32 Pico Replaces the Analog Comparator ULTIMATE ARDUINO UNO HARDWARE MANUALSample Chapter: Main Microcontroller Bootloader MICROPYTHON FOR THE ESP32 AND FRIENDS (PART 2)Control Matrix Displays Easily MADMACHINE SWIFTIO BOARDModern Language Meets Modern Hardware FROM LIFE’S EXPERIENCEOn-Again, Off-Again Relationship HEXADOKUThe Original Elektorized Sudoku

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The uArm Swift Pro is a high quality robotic arm that can be used in a wide range of applications. The uArm Swift Pro was developed and optimized for use in education, which means that many packages are already available for open source platforms such as ROS. The uArm Swift Pro has a position repeatability of 0.2 mm and is also equipped with a stepper motor and a 12-bit encoder. These are just a few reasons that make the uArm Swift Pro an excellent choice for educational use. Another great feature is the 3D printing kit that converts the uArm Swift Pro into a 3D printer in less than 1 minute. The uArm supports the following development platforms/systems: UFACTORY SDK Arduino Python ROS GRABCAD OpenMV Smartphone App The smartphone app for iOS is already available in the App Store and enables easy control and monitoring of the robotic arm. The app for Android is in development and will be available soon. An example of the Machine Vision The following GIF shows the uArm in combination with the OpenMV Machine Vision Cam M7 and the facial recognition applications that can be implemented in MicroPython. Specifications Degrees of Freedom: 4 Repeatability: Up to 0.2 mm Payload: 500 g Working Range: 50-320 mm Positioning Speed: 100 m/s Position Feedback: 12-bit Encoder Dimensions: 150 x 140 x 281mm Weight: 2.2 kg Included UFactory uArm Swift Pro Body Bluetooth & Vacuum Gripper Downloads Datasheet

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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go2 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Edu 1x Unitree Go2 Remote Controller 1x Unitree Go2 Battery (15000 mAh) 1x Unitree Docking station with 40 TOPS computing power Downloads Documentation iOS/Android apps GitHub

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Build your own AI microcontroller applications from scratch The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications. This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board: Onboard LEDs and buttons External LEDs and buttons Using analog-to-digital converters I²C projects SPI projects UART projects External interrupts and timer interrupts Using the onboard microphone Using the onboard camera Convolutional Neural Network

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