jetson nano

【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface. 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices. 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses. 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.

Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects. The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording...,USB3.0 High Speed Data Transmission, Allows More USB Peripherals Supports DisplayPort And HDMI High Definition Ports,Color-Coded Header Pins With Clear Labels, Handy For Use

With drive-free 5G (867 Mbps) / 2.4 G (300 Mbps) wireless NIC, it supports Bluetooth and WiFi dual modes, and 6DB high-gain dual antennas effectively improve penetration, and make data transmission wider and smoother, which is suitable for mobile networking scenarios. Based on Jetson Nano Module (with 16GB eMMC), it provides almost the same size and thickness as official Jetson Nano 2GB Developer Kit. Compared with the JETSON-NANO-DEV-KIT, the peripheral interfaces are less but the performance of the core module remains the same, which is suitable for the scenarios that require less interfaces, more cost-effective. Supports CSI Camera For AI Applications Such As Face Recognition, Road Sign Recognition And License Plate Recognition USB 3.2 Gen 1 Port For High Speed Data Transmission. Color-Coded Header Pins With Clear Labels, Handy For Use

Das NVIDIA Jetson Nano Entwicklerkit eröffnet den Einstieg in die Welt der künstlichen Intelligenz (KI), Robotik und Embedded Computing. Ausgestattet mit einem leistungsstarken Quad-Core ARM Cortex-A57 Prozessor und einer NVIDIA Maxwell GPU mit 128 CUDA-Kernen, bietet es die ideale Plattform, um komplexe KI-Anwendungen wie Bild- und Objekterkennung, Sprachverarbeitung oder autonome Systeme zu entwickeln. In Kombination mit der NVIDIA JetPack SDK-Software steht eine vollständige Entwicklungsumgebung zur Verfügung – inklusive KI-Bibliotheken wie TensorRT, cuDNN und CUDA. Dank der großen Entwickler-Community, zahlreicher Tutorials und Beispielprojekte gelingt der Einstieg in das Jetson-Ökosystem schnell und praxisnah. Technische Daten: - GPU: NVIDIA Maxwell™ Architektur mit 128 CUDA-Kernen - CPU: Quad-Core ARM Cortex-A57 MPCore (1,43 GHz) - Arbeitsspeicher: 4 GB LPDDR4, 64-Bit - Massenspeicher: microSD-Kartenslot (Karte nicht enthalten) - Video-Encoder: 4K @ 30 - Video-Decoder: 4K @ 60 - Kameraanschlüsse: 2 x 15-polige MIPI CSI-2

It is a good idea to add an aluminum alloy case on the basis of binocular vision package, and all accessories into the mini box. The camera bracket rotating at 180 degrees is one of its major features. The whole case is firm, dustproof and beautiful, and it also has good performance in heat dissipation capability. Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects. Compatible With Expansion Modules And Cases Of The Jetson Nano Developer Kit (B01). The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading. Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording... Supports DisplayPort And HDMI High Definition Ports. USB3.0 High Speed Data Transmission, Allows More USB Peripherals. Color-Coded Header Pins With Clear Labels, Handy For Use.

The batt are NOT included.Jetson Nano 2GB Board is NOT included. Please note that the batt length SHOULD be less than 67mm, some batt with protection plate in the market are NOT supported Powered by Jetson Nano 2GB Deep Learning Self Driving Visual Road Following Interactive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Autonomous Selft Driving Suitable For High School AI Teaching / Intelligent Racing jetracer ai kit robot jetson nano developer racing wireless driving running autonomous car intelligent project rechargeable wifi teleoperation track

Nvidia Jetson Orin Nano 4GB Jetson Orin Nano 4 GB 6 x

Based on AI computers Jetson Nano, providing almost the same peripheral interfaces, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects. Includes a Nano module with onboard 16GB eMMC, more stable reading/writing, no extra TF card required for startup disk, providing adequate space for installing system image and development/study requirement in most cases Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording... USB3.0 High Speed Data Transmission, Allows More USB Peripherals

SIM8202G-M2 5G Modul entwickelt für Jetson Nano, 5G/4G/3G Unterstützung, Snapdragon X55 Onboard, Multi Mode Multi Band, geeignet für Regionen mit 5G Sub-6G Signalabdeckung

SIM8200EA-M2 5G Modul entwickelt für Jetson Nano, 5G/4G/3G Unterstützung, Snapdragon X55 Onboard, Multi Mode Multi Band, geeignet für Regionen mit 5G Sub-6G Signalabdeckung

⭐Comprehensive Accessories⭐: Includes Jetson Nano Module Core Board, Jetson Nano Expansion Board, 64GB micro TF card, card reader and official cooler for multiple AI applications. It is almost the same as B01, and can be compatible with the expansion board and case of B01 official KIT. ⭐High Resolution Camera⭐: additionally equipped with an 8 MP HD camera that supports facial recognition, road marking recognition and license plate recognition. ⭐Stable storage⭐: The Nano core board comes with 16GB eMMC, which is stable for reading and writing, and does not require an external micro TF card as a system boot disk, which is sufficient for installing system images and meeting general development and learning requirements. However, the 64GB mirco TF card provided meets the storage capacity of complex development projects. ⭐Multiple interface support⭐: Support 2-way CSI camera, ideal for binocular parallax algorithm distance measurement, face recognition, live body detection, recording VR video and other applications that require binocular vision, and support 4K dual-screen output (DisplayPort and HDMI). ⭐Rich connectivity⭐: four USB 3.2 Gen 1 ports and colorful 40PIN GPIO ports make it easy to connect to a variety of peripherals, and the functions are clear at a glance.

On the basis of JETSON NANO MINI kit, it is pre-assembled with the Jetson Nano Module, cooling fan, AC8265 Wireless NIC (with antennas), and equipped with Ethernet cable and USB cable, easy for users to get started quickly. Supports CSI Cameras For AI Applications Such As Facial Recognition, Road Sign Detection And License Plate Recognition For reference only, the binocular camera is NOT included Supports HDMI High Definition Port. Comes With Adapter Board, Supports Installing WiFi Or 4G Module (Choose One Of Two)

SIM8200EA-M2 5G Modul entwickelt für Jetson Nano, 5G/4G/3G Unterstützung, Snapdragon X55 Onboard, Multi Mode Multi Band, geeignet für Regionen mit 5G Sub-6G Signalabdeckung

SIM8202G-M2 5G Modul entwickelt für Jetson Nano, 5G/4G/3G Unterstützung, Snapdragon X55 Onboard, Multi Mode Multi Band, geeignet für Regionen mit 5G Sub-6G Signalabdeckung

The batt are NOT included.Jetson Nano 2GB Board is NOT included. Please note that the batt length SHOULD be less than 67mm, some batt with protection plate in the market are NOT supported Interactive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Faster Autonomous Selft Driving Suitable For High School AI Teaching / Professional Racing JetRacer Pro 2GB AI Kit Also Supports DonkeyCar Open Source Project. DonkeyCar Utilizes Deep Learning Neural Network Framework Keras/TensorFlow, Together With Computer Vision Library OpenCV, To Achieve Self Driving. jetracer ai kit robot jetson nano developer racing wireless driving running autonomous car intelligent project rechargeable wifi teleoperation track

Give the lovely host an acrylic case. Compared with the bulkiness of aluminum alloy case, acrylic is light and concise, which can play a basic protective role. Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects. Compatible With Expansion Modules And Cases Of The Jetson Nano Developer Kit (B01). The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading. Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording... Supports DisplayPort And HDMI High Definition Ports. USB3.0 High Speed Data Transmission, Allows More USB Peripherals. Color-Coded Header Pins With Clear Labels, Handy For Use.

30-in-1 No-Solder Sensor Board, Plug and Play – Integriert 30 funktionsfähige Sensoren, darunter Temperatur- und Feuchtigkeitssensor, Ultraschall-Entfernungsmesser, Gassensor und Bewegungssensor. Das innovative einheitliche Board-Design erfordert kein Löten oder komplexe Verkabelung und wird mit einem vollständigen Zubehörset geliefert, darunter eine 128-GB-SD-Karte, ein Adapter-Board und Acryl-Montageplatten – für Experimente ohne Einstiegshürden 8MP Gimbal Camera & Dual Servos für professionelles visuelles KI – Das Starter-Kit ist mit einer IMX219-8MP-Monokularkamera und einem Dual-Servo-Gimbal ausgestattet, die Gesichts- und Zielverfolgung unterstützen. Es ist ideal für KI-Edge-Computing-Anwendungen wie intelligente Überwachung, Roboternavigation und automatische Erkennung 38 Schritt-für-Schritt-Python-Tutorials, vom Anfänger bis zur praktischen Anwendung – Das Jetson Orin Nano Starter-Kit enthält 38 durchdachte Python-Tutorials, die von der grundlegenden Programmierung bis zur Bildverarbeitungspraxis reichen. Sie decken alle wichtigen Wissensbereiche ab – Sensorsteuerung, Embedded-Entwicklung und KI-basierte Bilderkennung – und sind sowohl für Einsteiger als auch für fortgeschrittene Lerner geeignet 11,6-Zoll-IPS-HD-Bildschirm & KI-Sprachinteraktionssystem – Der integrierte IPS-Bildschirm mit 1366×768 Pixeln macht einen externen Monitor überflüssig und ermöglicht eigenständige Experimente mit visuellem Feedback. Das exklusive KI-Sprachinteraktionssystem unterstützt intelligente Frage-Antwort-Funktionen und Sprachbefehle für eine natürliche Mensch-Maschine-Kommunikation Vielfältige Erweiterungsschnittstellen & tragbares All-in-One-Design – Verfügt über 2× I2C-, 1× UART- und 2 IO-Erweiterungsschnittstellen, um individuelle Experimentiererweiterungen zu ermöglichen. Eine maßgeschneiderte Tragetasche integriert alle Komponenten (11,81 × 7,87 × 3,94 Zoll) und ermöglicht KI-Experimente und -Vorführungen jederzeit und überall

If you want to play AI intelligent applications such as face recognition, road sign recognition and license plate recognition, this package is very suitable for you. With an 8 megapixel (3280 x 2464) high-definition camera, it can be used easily in various application scenarios. Based on Jetson Nano Module (with 16GB eMMC), it provides almost the same size and thickness as official Jetson Nano 2GB Developer Kit. Compared with the JETSON-NANO-DEV-KIT, the peripheral interfaces are less but the performance of the core module remains the same, which is suitable for the scenarios that require less interfaces, more cost-effective. Supports CSI Camera For AI Applications Such As Face Recognition, Road Sign Recognition And License Plate Recognition USB 3.2 Gen 1 Port For High Speed Data Transmission. Color-Coded Header Pins With Clear Labels, Handy For Use

Arducam IMX477 12MP PTZ-Kamera für Raspberry Pi 4/3B+/3 und Jetson Nano/Xavier NX, IR-Cut umschaltbare Kamera mit Metallbasis und 2 digitalen Servos

[Anmerkung] Jetson Nano 4 GB SUB Kit Nano ist ein äußerst konsistentes Entwicklerkit, das auf dem offiziellen Jetson Nano 4 GB Kernmodul basiert. Der einzige Unterschied besteht darin, dass das WayPonDEV Jetson Nano 4 GB SUB Kit mit 16G-eMMC-Speicher geliefert wird, der das Board ohne TF booten kann Karte. Und es hat auch einen TF-Kartensteckplatz, und Sie können eine USB 3.0 U-Festplatte verwenden, um den Speicher zu erweitern. [Mehrere KI-Frameworks] Das WayPonDev Jetson Nano SUB Kit Nano liefert die Rechenleistung, um moderne KI-Workloads mit beispielloser Größe, Leistung und Kosten auszuführen. Entwickler, Lernende und Macher können jetzt KI-Frameworks und -Modelle für Anwendungen wie Bildklassifizierung, Objekterkennung, Segmentierung und Sprachverarbeitung ausführen. [Niedriger Verbrauch] Das Entwicklerkit kann über Micro-USB mit Strom versorgt werden und verfügt über umfangreiche I/Os, die von GPIO bis CSI reichen. Dies macht es Entwicklern einfach, eine Vielzahl neuer Sensoren anzuschließen, um eine Vielzahl von KI-Anwendungen zu ermöglichen. Es ist unglaublich energieeffizient und verbraucht nur 5 Watt. [JetPack unterstützt]Jetson Nano Sub Kit Nano wird auch von JetPack unterstützt, das ein Board Support Package (BSP), Linux OS, N-VI-DI-A CUDA, cuDNN und TensorRT-Softwarebibliotheken für Deep Learning, Computer Vision, GPU-Computing, Multimedia-Verarbeitung und vieles mehr. Die Software ist sogar mit einem einfach zu flashenden SD-Karten-Image verfügbar, sodass Sie schnell und einfach loslegen können. [Einfach zu bedienende offizielle N-V-I-DIA-KI-Software] Dasselbe JetPack-SDK wird in der gesamten Jetson-Produktfamilie verwendet und ist vollständig kompatibel mit der weltweit führenden KI-Plattform zum Trainieren und Bereitstellen von KI-Software. Dieser bewährte Software-Stack reduziert die Komplexität und den Gesamtaufwand für Entwickler. [In der Box] 1 x Jetson Nano Modul mit Kühlkörper; 1 x Referenzträgerplatte (SUB Kit Nano); 1x 5V-4A Netzteil. [Wiki]Quick Start: “wiki.youyeetoo.com/en/JETSON_NANO”. If you have any questions, you can click "WayPonDEV" and ask a question or contact us by wpd#youyeetoo.com (#------>@).

✨Dieses 5G/4G/3G Jetson Nano Kommunikationsmodul nimmt SIMCom 5G-Modul SIM8202G-M2, unterstützt 5G NSA- und SA-Netzwerke, bietet Datenrate bis zu 2,4 Gbps (DL) / 500 Mbps (UL). ✨Die Basisplatte verfügt über einen Standard-M2-Anschluss, ermöglicht die Verbindung mit verschiedenen 4G- oder 5G-Kommunikationsmodulen im M2-Paket. Es gibt auch integrierte Schnittstellen wie USB3.1-Anschluss, Audiobuchse, SIM-Kartensteckplatz usw. ✨In Kombination mit unserem Konfigurationsskript und unseren Entwicklungsressourcen ist es einfach, 5G-Hochgeschwindigkeitskommunikation für den Jetson Nano oder Computer zu ermöglichen. ✨Dieses 5G-Modul ist ideal für die schnelle Bewertung von 5G-Modulen sowie für die Integration in verschiedene Anwendungen, bei denen eine 5G-Verbindung erforderlich ist. ✨ Standard 40-poliger GPIO-Erweiterungsstecker, unterstützt direkte Befestigung an Jetson Nano. Kommt mit SIM8202G-M2-Kernmodul, basierend auf Qualcomm Snapdragon X55 Plattform, mit Multi-Modus-Multiband-Unterstützung

If the single camera vision package can't meet the requirements, this package with 7-inch IPS touch screen is undoubtedly a better choice. The 1024 x 600 pixel screen can display the images taken by the camera in real time. If you are a beginner, you can also benefit from the graphical operating system, killing two birds with one stone. Based on Jetson Nano Module (with 16GB eMMC), it provides almost the same size and thickness as official Jetson Nano 2GB Developer Kit. Compared with the JETSON-NANO-DEV-KIT, the peripheral interfaces are less but the performance of the core module remains the same, which is suitable for the scenarios that require less interfaces, more cost-effective. Supports CSI Camera For AI Applications Such As Face Recognition, Road Sign Recognition And License Plate Recognition USB 3.2 Gen 1 Port For High Speed Data Transmission. Color-Coded Header Pins With Clear Labels, Handy For Use

reComputer J101 Trägerplatine ist eine kostengünstige und schnittstellenreiche NVIDIA Jetson Nano kompatible Trägerplatine. Es umfasste HDMI2.0, 2x USB 2.0, 1x USB 3.0, Micro-SD-Kartensteckplatz, 2 xCSI, M.2 Key E WIFI / BT, GPIO, I2C, I2S, Lüfter und andere reichhaltige Peripherieschnittstellen. Es hat nahezu das gleiche funktionale Design und genau die gleiche Größe wie die Trägerplatine des NVIDIA Jetson Nano B01 Developer Kit. Spezifikationen . Design für Jetson Nano Module (260-Pin SODIMM) . Micro-SD-Kartensteckplatz zur Speichererweiterung . USB 3.0, USB 2.0 . M.2 Key E für WIFI . HDMI-Anschluss . LAN-Anschluss: 10/100/1000 Mbit . weitere Anschlüsse: 2x CSI, RTC, Raspberry Pi GPIO 40-Pin . Stromversorgung: 5 V / 3 A @ USB Typ-C Hinweis Lieferung ohne Jetson Nano Modul und Kühlkörper (s. "Zubehör & Alternativprodukte")

Designed for Jetson Nano, capable of deep learning, autonomous driving, visual road tracking (supports multiple control methods such as wireless gamepad control, PC web control and mobile web control) High performance autonomous AI racing car specially designed for JETSON NANO, higher performance chassis structure, faster movement speed Highly integrated JetRacer Pro expansion board, rechargeable, voltage monitoring, no messy wiring, no tedious assembly 8 million pixels, 160-degree wide viewing angle, IMX219 high-quality camera, 3280×2464 resolution Dual-mode wireless network card AC8265, 2.4GHz/ 5GHz dual-band WIFI high-speed Internet access, Bluetooth 4.2 to connect Bluetooth devices, stable communication, low latency

Arducam 12MP*2 Synchronisiertes Stereo-Kamera-Bundle-Kit für Nvidia Jetson Nano und Xavier NX, zwei 12,3 MP IMX477-Kameramodule mit CS-Objektiv und Camarray Stereo-Kamera-HAT

1920×1080 High Resolution, HDMI/VGA Display Port, IPS Display Panel, 178° Viewing Angle, USB Touch Port, 3.5mm Audio Jack, Embedded ferrite Hi-Fi speaker(no need for external speakers). Working with Raspberry Pi, supports Raspberry Pi OS/Ubuntu/Kali and Retropie systems. Working as a computer monitor, supports Windows 11/10/8.1/8/7. Up to 10-points touch, depending on the operating system. Up to 6H hardness toughened glass panel. Multi-languages OSD menu, for power management, brightness/contrast adjustment, etc. Also supports VGA input (specific cable is required and should be purchased separately). 100 x 100mm spacing mounting holes (M4 screw hole) for mounting on the wall. Comes with 60° tilt angle stand. Provide online user manual. 13.3inch capacitive touch screen hdmi ips lcd with case supports raspberry pi 4b/3b+/3b etc. for jetson nano/pc

Lieferung nur an Gewerbetreibende, Institutionen und Behörden. Delivery only to businesses, institutions, and government agencies. Das NVIDIA Jetson Orin Nano 8GB-Modul bietet bis zu 40 TOPS KI-Leistung im kleinsten Jetson-Formfaktor, mit konfigurierbarer Leistung von 7 W bis 15 W. Dadurch erhalten Sie die bis zu 40-fache Leistung von NVIDIA Jetson Nano und legen die neue Basis für Edge AI der Einstiegsklasse fest. Bringen Sie die Leistung der nächsten Stufe in Ihre nächste Edge-KI oder Roboterinnovation in einem kleinen, energieeffizienten Formfaktor, der für den Edge entwickelt wurde. Sie erhalten bis zu 40 TOPS an KI-Leistung im kleinsten NVIDIA Jetson -Formfaktor mit Leistungsoptionen zwischen 7 W und 15 W. Alles in einem leistungsstarken KI-Supercomputer mit dem ursprünglichen Jetson Nano -Footprint. . 1024-Kern-NVIDIA-Ampere . Architektur GPU mit 32 Tensorkerne . 6-Kern Arm Cortex-A78AE v8.2 . 8 GB 128-Bit LPDDR5 . unterstützung für externes NVMe Technische Daten . KI-Leistung: 20 TOPS . GPU: 1024-Kern-GPU mit NVIDIA-Ampere-Architektur und 32 Tensorkernen @625 MHz . CPU: 6-Kern-Arm Cortex-A78AE v8.2 64-Bit-CPU 1,5 MB L2 + 4 MB L3 @1500 MHz . Arbeitsspeicher: 8 GB 128-Bit LPDDR5 68 GB/s . Speicher: 0 GB (Unterstützt externes NVMe) . Kamera: bis zu 4 Kameras (8 über virtuelle Kanäle*) 8 MIPI CSI-2 Lanes D-PHY 2.1 (bis zu 20 Gbit/s) . Videokodierung: 1080p30 wird von 1-2 CPU-Kernen unterstützt . Videodekodierung: 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) . PCIe: 1 x4 + 3 x1 (PCIe Gen3, Root-Port und Endpunkt) . USB: 3x USB 3.2 Gen2 (10 Gbit/s) / 3x USB 2.0 . LAN: 1x GbE . Anzeige: 1x 4K30 Multimode DP 1.2 (+MST)/eDP 1.4/HDMI 1.4 . weitere I/Os: 3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC & DSPK, PWM, GPIOs . Anschluss: 260-poliger SO-DIMM-Anschluss . Leistung: 7 - 15 W . Maße (LxB): 69,6 x 45 mm Hersteller Informationen & Software https://developer.nvidia.com/embedded/jetson-modules https://developer.nvidia.com/embedded/learn/getting-started-jetson https://developer.nvidia.com/embedded/jetpack https://developer.nvidia.com/embedded/downloads

Supports Raspberry Pi 4B / CM4, or more powerful future versions(enough GPU performance is required to drive this 2K display. Supports Windows 11 / 10 / 8.1 / 8 / 7, 10-points touch, driver free/Supports Ubuntu, single point touch, driver free. Supports Raspberry Pi OS, 10-points touch, driver free.Supports Ubuntu/Kali, single point touch, driver free. 2560×1600 High Resolution, Represents Distinct & Detailed Picture. up to 10-points touch, depending on the operating system and up to 6H hardness toughened glass panel. Optical bonding screen, better display experience, dust-proof. Embedded Hi-Fi Speaker, 3.5mm audio jack, supports HDMI audio output.CNC alloy enclosure.

This 15.6inch IPS screen, with 1920x1080 high rsolution, toughened class cover, supports multi mini-PCs, multi systems. HDMI/VGA Display Port, IPS Display Panel, 178° Viewing Angle, USB Touch Port, Polycarbonate Enclosure. Up to 6H hardness toughened glass panel. Used with Raspberry Pi, it supports Raspberry Pi OS/Ubuntu/Kali and Retropie. Used as a computer monitor, it supports Windows 11/10/8.1/8/7. Up to 10-points touch, depending on the operating system. Multi-languages OSD menu, for power management, brightness/contrast adjustment, etc. with 3.5mm audio jack, supports HDMI audio output. Provide online user manual. with usage guidance for working with Raspberry Pi/PC etc. 15.6inch capacitive touch screen lcd with case and toughened glass cover 1920×1080 hdmi ips support raspberry pi/jetson nano/pc

【Jetson Nano SUB Core Parameters】★GPU: 128-core Maxwell ★AI computing power: 473GFLOPS ★CPU: Quad-core ARMA57 @1.43 GHZ ★Network: Support USB high-speed network card, support M.2 dual-band high-speed network card ★Storage: Support 16GB eMMC 【Rich Interfaces, Powerful Functions】Four USB 3.2 Gen 1 high-speed interfaces can access more and richer peripherals, USB3.2Gen 1 high-speed transmission; supports 2 CSI cameras or 1 binocular camera, very suitable for use Parallax algorithm ranging for face recognition, live body detection, VR vision recording and other applications; supports DisplayPort interface and HDMI high-definition interface. 【Comparison between】Both have the same motherboard performance, onboard resources, size, and interface layout. The only difference is that the SUB version comes with 16GB eMMC storage, and you can easily and quickly start the motherboard without a TF card. Compared with TF cards, eMMC is faster, more stable, and more capable of adapting to the environment, and is more in line with the system environment construction of current edge devices. 【Supports Al Large Model Voice Module】The Al large model voice module comes with high-perfor-mance microphone and a speaker, supporting far-fieldsound pickup, echo cancellation, and ambient noise reduc.tion. Combined with a large language model and voicemodel, it enables natural and smooth human-computerinteraction, making it easy to build intelligent voice interac.tion terminals.Supports offline and online AI large language models, enabling visual recognition and intelligent responses. 【Wide application scenarios】This product is suitable for AI robots, drone data processing, urban road identification, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 18.04 system and AI vision and ROS development materials. Provide relevant information.