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उत्पाद विवरण:
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| CPU: | डुअल-कोर 32-बिट Xtensa LX7 | अधिकतम घड़ी की गति: | 240 मेगाहर्ट्ज |
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| विशिष्ट हार्डवेयर: | ईएसपी-एनएन | आंतरिक स्मृति: | 512KB SRAM + 384KB ROM + 8KB RTC लो-स्पीड मेमोरी |
| बाहरी भंडारण: | 16एमबी फ्लैश + 8एमबी | कम बिजली की खपत: | गहरी नींद मोड केवल 5μA की खपत करता है |
| मानक: | 802.11 बी/जी/एन 1टी1आर | बैंडविड्थ: | 20/40 मेगाहर्ट्ज |
| प्रमुखता देना: | ESP32-S3 development board WiFi Bluetooth,dual-core MCU AI smart device,ESP32-S3 DevKitC-1-N16R8 board |
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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 |
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व्यक्ति से संपर्क करें: Miss. Xu
दूरभाष: 86+13352990255