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YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated

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YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated

YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated
YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated

Ampliación de imagen :  YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated

Datos del producto:
Lugar de origen: Porcelana
Nombre de la marca: YJJ
Número de modelo: ESP32-S3
Pago y Envío Términos:
Cantidad de orden mínima: 1
Precio: Negociable
Detalles de empaquetado: Paletizado
Tiempo de entrega: 5-8 días
Condiciones de pago: LC, D/A, D/P, T/T, Western Union, MoneyGram
Capacidad de la fuente: 1500

YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated

descripción
UPC: Xtensa LX7 de doble núcleo de 32 bits Velocidad máxima de reloj: 240 megaciclos
Hardware exclusivo: ESP-NN Memoria interna: 512 KB SRAM + 384 KB ROM + 8 KB RTC de memoria de baja velocidad
Almacenamiento externo: Memoria flash de 16 MB + 8 MB Bajo consumo de energía: El modo de suspensión profunda consume sólo 5μA
Estándar: 802.11 b/g/n 1T1R Ancho de banda: 20/40 MHz
Resaltar:

ESP32-S3 development board WiFi Bluetooth

,

dual-core MCU AI smart device

,

ESP32-S3 DevKitC-1-N16R8 board

Product Description:

YJJ ESP32-S3-DevKitC-N16R8 Development Board - Dual-Core 32-Bit MCU AI Smart Device Wireless WIFI Bluetooth Capabilities

 

Features:

I. Basic Information

Model Interpretation

ESP32-S3: A new generation of dual-core main control chip with AI vector acceleration

DevKitC-1: Standard general-purpose development board, with all pins exposed, USB-C power supply for download

N16: 16MB Quad SPI Flash (program / web / AI model storage)

R8: 8MB Octal PSRAM (super large cache, essential for cameras / voice / AI inference)

Module: ESP32-S3-WROOM-1-N16R8, with onboard PCB antenna

II. Core Hardware Parameters

1. Main Control Processing (Advantages of AI Core)

CPU: Dual-core 32-bit Xtensa LX7, maximum clock speed 240MHz

Exclusive Hardware: Built-in AI vector instruction set (ESP-NN), specifically accelerates neural networks, voice, and image algorithms

Built-in Memory: 512KB SRAM + 384KB ROM + 8KB RTC low-speed memory

External Storage: 16MB Flash + 8MB high-speed octal PSRAM (top-end memory of the same series)

Low Power Consumption: Deep sleep only 5μA, supports long-term battery device standby

2. Wireless Communication (WiFi + BLE Dual Mode)

2.4G WiFi

Standard: 802.11 b/g/n 1T1R, bandwidth 20/40MHz, peak 150Mbps

Mode: STA/AP/Mixed, MQTT, HTTP, OTA remote upgrade, web service

Bluetooth 5.0 BLE

Rate: 125K/500K/1M/2Mbps, supports BLE Mesh, Bluetooth broadcast pairing, Bluetooth audio

Radio Coexistence: WiFi / Bluetooth hardware scheduling, works without interference

3. Peripheral Resources (Exposed all pins, compatible with AI peripherals)

GPIO: 36 general-purpose I/O, 33 available, all support reassignment

Communication Interfaces: 3 UART, 2 I2C, SPI, I2S audio, TWAI (CAN2.0), USB OTG

Analog Peripheral: 20 12-bit SAR ADC, on-chip temperature sensor

Multimedia: Hardware PWM, LCD screen driver, camera DVP interface, infrared transceiver

Onboard Standard: USB-C (power supply + download + serial port), programmable WS2812 RGB lights, reset / BOOT button

4. Electrical and Environmental

Power Supply: USB 5V input, chip core 3.3V

Operating Temperature: -40℃ ~ +85℃, meets industrial equipment standards

Development Support: ESP-IDF, Arduino, MicroPython fully open source, perfectly compatible with AI smart device firmware

III. Super Large Memory Core Value of N16R8 (Different from Ordinary N4/N8 Low-End Versions)

16MB Flash: Can store offline voice models, web static resources, multiple firmware, large file system, supports complete OTA upgrade

8MB PSRAM: Super large image / audio cache, smooth running of camera images, multiple microphone voices, TensorFlow Lite AI inference

The ordinary 4MB Flash without PSRAM version cannot run offline voice, face recognition, high-definition camera projects, the AI smart device must be configured with N16R8

IV. AI Core Capability (Core Function of Smart Device)

1. Offline Voice Interaction (ESP-SR Voice Framework) Local offline wake-up word recognition (no internet connection required)

Echo cancellation AEC, noise reduction, keyword voice command recognition

Chinese / English offline voice announcement, with speaker I2S audio output

2. Local machine vision (TFLite Micro)

Connect to OV2640/OV5640 cameras, run lightweight models locally:

Human body detection, face recognition, object classification, action recognition

8MB PSRAM cache for high-definition images, low-latency local inference, no need to upload to the cloud

3. AI multi-task concurrency

Dual-core division of labor: one core for wireless networking, one core for local AI computation, simultaneously achieving voice interaction + camera recognition + IoT device control

5. Mainstream applications (including AI smart devices)

1. AI smart device / offline voice assistant (main focus)

Offline voice wake-up, voice control of lights / sockets / household appliances, voice question and answer reporting of temperature/humidity / gas data

Desktop AI voice robot, children's early education voice machine, offline smart home central control

2. Visual AI camera equipment

Intelligent access control face recognition, human body sensing alarm, warehouse goods recognition, pet monitoring

Industrial equipment visual inspection, gas detection image wireless upload (搭配 SO-E2-960, MSA 1012121X gas sensors)

3. Smart home IoT terminal

Smart switches, dimming panels, temperature/humidity / gas collection gateway, Bluetooth Mesh full-house linkage

Touchscreen central control, infrared universal remote control (voice control for air conditioners / TVs)

4. Industrial data collection (wide temperature range - 40~85℃)

Gas sensor wireless collection terminal, 485/CAN to WiFi gateway, device remote monitoring

Multi-sensor data fusion, local AI abnormal alarm (voice reminder for excessive gas)

5. Creators / educational development

University IoT competition, AI voice visual teaching experiment, Python/MicroPython development platform

Voice car, image recognition robot, low-power battery monitoring device

6. Multimedia audio equipment

Bluetooth WiFi dual-mode speaker, offline voice player, recording noise reduction terminal

 

Specifications:

CPU 32-bit RISC-V single-core, with a maximum clock speed of 160 MHz
ROM 384KB
SRAM 400KB (16KB Cache) + 8KB RTC SRAM
Flash 4MB (N4 represents 4M, N8 represents 8M)
Built-in 40MHz high-precision crystal oscillator

 

YJJ ESP32-S3-DevKitC-1-N16R8 Development Board WiFi + Bluetooth Dual-Core MCU/AI Smart Device Dedicated 0

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ShenzhenYijiajie Electronic Co., Ltd.

Persona de Contacto: Miss. Xu

Teléfono: 86+13352990255

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