#m5stacknew

#M5StackNew 🎉 PaperColor PaperColor is a development board featuring a 4-inch E Ink Spectra 6 full-color e-paper display with a resolution of 400x600, offering both low power consumption and high visibility. ✨Features ✅ESP32-S3R8 Core: 16MB Flash + 8MB PSRAM, 2.4 GHz Wi-Fi ✅ES8311 Audio Codec, 1W Speaker + MEMS Microphone ✅Built-in 1250mAh Battery, microSD Card Slot ✅Infrared Emitter, 2x RGB LED, RX8130CE Real-Time Clock ✅Onboard SHT40 Temperature & Humidity Sensor 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #PaperColor #ESP32S3 #EInk #EPaper #SmartDisplay #EmbeddedSystems #Makers
M5Stack45,351 Aufrufe • vor 2 Monaten

#M5StackNew 🎉 StopWatch StopWatch is a portable AMOLED round touch development board designed for interactive and wearable scenarios, integrating display, touch, audio and motion sensing into one compact device. ✨Features ✅ ESP32-S3R8 core controller with 16MB Flash, 8MB PSRAM, and 2.4GHz Wi-Fi ✅ 1.75" AMOLED Touch Round Display, 2 x Programmable Buttons, 1 x Power Button ✅ Built-in Vibration Motor, 6-axis IMU BMI270, RX8130CE RTC ✅ ES8311 Audio Codec, MEMS MIC, AW8737A Amplifier for audio input and output ✅ HY2.0-4P Expansion Interface, M5PM1 Multi-level Power Management System, Built-in 450mAh Battery 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #ESP32S3 #AMOLED #WearableTech #Embedded #HMI #TouchDisplay #SmartDevices
M5Stack35,710 Aufrufe • vor 2 Monaten

#M5StackNew 🎉Tab5 Keyboard Tab5 Keyboard is a 70-key physical keyboard input expansion module designed specifically for Tab5. It connects directly to the host via Tab5 Ext.Port1, enabling a plug-and-play input experience. ✅ Uses STM32F030C8T6 as the main control chip, designed for Tab5, plug and play via direct connection to the expansion port ✅ 14 x 5 matrix, supports multiple simultaneous key presses ✅ Three operating modes (Normal, HID, and Character) to meet diverse requirements ✅ I2C communication with low-latency reporting through an interrupt pin ✅ Onboard dual RGB LEDs for colorful status indication 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #Tab5 #Keyboard #IoT #Hardware #Makers #HumanComputerInteraction #TextInput #PortableDevices
M5Stack21,340 Aufrufe • vor 1 Monat

#M5StackNew 🎉LLM-8850 Kit (4G) Released LLM-8850 Kit is a high-performance AI accelerator kit designed for edge AI and embedded computing scenarios. It consists of the LLM-8850 Card AI accelerator card, which is based on #Axera AX8850 SoC, and the LLM-8850 PiHat adapter board, enabling the Raspberry Pi platform to easily integrate high-compute AI acceleration and rapidly build compact, efficient edge intelligence systems. This is 4GB memory version of the LLM-8850 Kit. ✨Features ✅Ultra-compact form factor: M.2 M-Key 2242 size & High-performance NPU: 24 TOPS @ INT8, octa-core Cortex‑A55 1.7 GHz CPU ✅Memory: 4GB 64‑bit LPDDR4x, 4266 Mbps (2+2) ✅Hardware video engine: 8 K @ 30 fps H.264/H.265 encoding, 8 K @ 30 fps decoding, supports 16-channel 1080P parallel decoding ✅Secure boot & encryption: AES / DES / 3DES / SHA‑256 hardware security module ✅Native AXCL: one-click execution of full-stack models including CNN, Transformer, CLIP, Whisper, Llama3.2, Qwen3, InternVL3, etc., supports simultaneous H.264/H.265 encode/decode transcoding 🛒 Get Yours: Shopify: AliExpress: #M5Stack #IoT #M5StackNew #RaspberryPi #Axera #EdgeAI #AIAcceleration #LLM #MachineLearning #Hardware #Makers #EmbeddedSystems
M5Stack11,024 Aufrufe • vor 1 Monat

#M5StackNew 🎉AI Pyramid & AI Pyramid-Pro Released AI Pyramid & AI Pyramid-Pro are pyramid-shaped high-performance AI PCs purpose-built for local AI inference and edge intelligence deployments. Powered by the #Axera AX8850 SoC, they effortlessly handle complex workloads including visual recognition, multimodal interaction, and on‑device large language model inference, compatible with #Immich (AI local photo album), #Frigate (AI smart security), local Home Assistant and #AIGC deployment. ✨Features ✅Axera AX8850 SoC, 24 TOPS @ INT8 ✅4GB (2+2) High‑Bandwidth Memory (8GB for the pro version): 64‑bit LPDDR4x, 4266 Mbps ✅2× HDMI 2.0 digital A/V output ports(1× output + 1× input for the pro version), 4K@60fps supported ✅Hardware Video Engine: 8K @ 30 fps H.264/H.265 encoding & decoding, 16‑channel 1080p parallel decoding supported ✅Native AXCL Support: One‑click deployment for #CNN、#Transformer、#CLIP、#Whisper、#Llama 3.2、#Qwen3、#InternVL3 and other models; H.264/H.265 simultaneous encode/decode/transcode enabled 🛒 Get Yours: 🔹AI Pyramid: Shopify: AliExpress: 🔹AI Pyramid-Pro: Shopify: AliExpress: #M5Stack #M5StackNew #AI #EdgeAI #AIPC #IoT #Hardware #Makers #SmartHome #Axera #Llama3 #DeepLearning
M5Stack21,084 Aufrufe • vor 5 Monaten

#M5StackNew 🎉 Unit C6L — a highly‑integrated LoRa communication unit with Stamp C6LoRa module, powered by #Espressif ESP32‑C6 and Semtech Corporation SX1262 LoRa transceiver. ✅ Supports Meshtastic or custom development for private LoRa networks ✅ Supports 868 ~ 923 MHz LoRa & 2.4 GHz Wi‑Fi 6 ✅ Built‑in 0.66" OLED display, programmable RGB LED, buzzer & user button ✅ Integrated overvoltage protection chip for stability 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #LoRa #ESP32C6 #SX1262 #Meshtastic #IoT #Hardware #EdgeConnectivity #Wireless #MakerGear #OutdoorComms #Espressif #Semtech
M5Stack14,071 Aufrufe • vor 9 Monaten

#M5StackNew 🎉 LLM‑8850 Card — an ultra‑compact M.2 M‑Key 2242 AI accelerator card designed for edge devices It packs the Axera AX8850 SoC delivering 24 TOPS @ INT8 performance into a tiny 42 mm form factor, enabling plug-and-play multimodal large model and video analysis acceleration for host devices such as Raspberry Pi 5 Raspberry Pi , RK3588 Rockchip Electronics , and x86 PCs. ✨Features ✅ High-performance NPU & Native AXCL ✅ High-bandwidth memory & Hardware video engine ✅ Ultra-compact form factor, Rich I/O & Intelligent cooling/power ✅ Secure boot & encryption 🛒 Get Yours: Shopify: #M5Stack #M5StackNew #IoT #Hardware #Makers #EdgeAI #AIAcceleration #LLM #AIoT #M2Card #MachineVision #RaspberryPi #RK3588 #Intel #AMD #Axera #Rockchip
M5Stack12,485 Aufrufe • vor 10 Monaten
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