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ESP32-S3-N16R8 Development Board 2.4G Wifi Bluetooth Module for AI Accelerated Dual Core Processor MCU Module support DeepSeek AI Voice Chatbot — image 1
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ESP32-S3-N16R8 Development Board 2.4G Wifi Bluetooth Module for AI Accelerated Dual Core Processor MCU Module support DeepSeek AI Voice Chatbot

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Electronics for everyday users

The ESP32-S3-N16R8 Development Board 2.4G Wifi Bluetooth Module for AI Accelerated Dual Core Processor MCU Module support DeepSeek AI Voice Chatbot by Pricio is a mid-range electronics designed for everyday users.

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MRP:₹2,599Save ₹384
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Estimated delivery: 4 Aug18 Aug
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SKU: bg-2049019Category: Electronics

About This Product

The ESP32-S3-N16R8 Development Board 2.4G Wifi Bluetooth Module for AI Accelerated Dual Core Processor MCU Module support DeepSeek AI Voice Chatbot by Pricio is a mid-range electronics designed for everyday users. It delivers reliable performance at an accessible price.

Why Buy from Pricio?

Pricio sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

Overview:
1. Support for AI acceleration
ESP32-S3 MCU adds vector instructions for accelerating neural network calculations and signal processing. AI developers can use these vector instructions through the ESP-DSP and ESP-NN libraries to achieve high-performance image recognition, voice wake-up and recognition applications. ESP-WHO and ESP-Skainet will also support this feature.

2. Complete security mechanism
ESP32-S3 provides a complete security mechanism and protection measures for IoT devices to prevent various malicious attacks and threats. It supports flash encryption based on AES-XTS algorithm, secure boot based on RSA algorithm, digital signature and HMAC. ESP32-S3 also adds a "World Controller" module, which provides two non-interfering execution environments to implement a trusted execution environment or permission separation mechanism.

3. Wi-Fi + Bluetooth 5 (LE)
ESP32-S3 integrates 2.4 GHz Wi-Fi (802.11 b/g/n) and supports 40 MHz bandwidth; its low-power Bluetooth subsystem supports Bluetooth 5 (LE) and Bluetooth Mesh, which can achieve long-distance communication through Coded PHY and broadcast extension. It also supports 2 Mbps PHY to increase transmission speed and data throughput. ESP32-S3's Wi-Fi and Bluetooth LE radio performance are excellent and can work stably even at high temperatures.

4. Rich IO interfaces
ESP32-S3 has 45 programmable GPIOs and common peripheral interfaces such as SPI, I2S, I2C, PWM, RMT, ADC, UART, SD/MMC host controller and TwAITM controller. 14 of the GPIOs can be configured as capacitive touch inputs for HMI interaction. In addition, ESP32-S3 is equipped with an ultra-low power coprocessor (ULP), which supports multiple low-power modes and is widely used in various low-power application scenarios.

5. Mature software support
ESP32-S3 uses the mature IoT development framework ESP-IDF. ESP-IDF has successfully enabled hundreds of millions of IoT devices, has undergone rigorous testing and release cycles, and has a clear and effective support strategy. Based on its mature software architecture, developers will find it easier to build applications or migrate existing programs to the ESP32-S3 platform with their familiarity with tools and APIs.

Specification:
This series of programs are backward compatible, for example, the N4 program can run on N& N16 without modification.

Wi-Fi:
- Support IEEE 802.11 b/g/n protocols
- Support 20 MHz and 40 MHz bandwidth in 2.4 GHz band · Support 1T1R mode, data rate up to 150 Mbps · Wireless Multimedia (WMM)
- Frame aggregation (TX/RX A-MPDU, TX/RX A-MSDU) Immediate Block ACK
- Fragmentation and defragmentation Beacon automatic detection (hardware TSF)
- 4 × virtual Wi-Fi interface
- Support infrastructure network (Infrastructure BsS) Station mode, SoftAP mode and Station + SoftAP mixed mode at the same time.
Please note that when ESP32-S3 scans in Station mode, the SoftAP channel will change simultaneously
- Antenna diversity
- 802.11 mc FTM

Bluetooth:
- Bluetooth LE: Bluetooth 5, Bluetoothmesh
- High power mode (20 dBm)
- Rate support 125 Kbps, 500 Kbps, 1 Mbps, 2 Mbps
- Advertising Extensions
- Multiple Advertisement Sets
- Channel Selection Algorithm #2
- Wi-Fi and Bluetooth coexist, sharing the same antenna

CPU and storage:
- Xtensa
R 32-bit LX7 dual-core processor, frequency up to 240MHz
- CoreMark

R score:
- Single core, frequency 240 MHz: 613.86 CoreMark; 2.56CoreMark/MHz
-Dual core, main frequency 240 MHz: 1181.60 CoreMark; 4.92 CoreMark/MHz
- 128-bit data bus width, support SIMD instructions
- 384 KB ROM
- 512 KB SRAM.
- 16 KB RTC SRAM
- SPl, Dual SPl, Quad SPl, Octal SPl, QPl, OPIs interface external multiple flash and off-chip RAM
- Introducing the flash controller with cache mechanism
- Support flash online programming

Advanced peripheral interface and sensor:
- 45 × GPIO port
- Digital interface:
-4 × SPl
-1 × LCD interface (8-bit ~ 16-bit parallel RGB, 18080, MOT06800), support RGB565, YUV422, YUV420, YUV411 conversion
-1 × DVP 8-bit~16-bit camera interface
-3 × UART
-2 × I2C
-2 × I2S
-1 × RMT (TX/RX)
-1 × pulse counter

LED PWM controller, up to 8 channels:
-1 × full-speed USB OTG
-1 × uSB Serial/JTAG controller
-2 × MCPWM
-1 x SDIO host interface, with 2 card slots

General DMA controller (GDMA for short), 5 receive channels and 5 transmit channels:
-1 × TWAI
R controller, compatible with IS0 11898-1 (CAN specification 2.0)

Package Included:
1 x ESP32-S3-N16R8 module



Product Safety Information

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.