Description

ESP32 S3 44Pin Price in pakistan | WROOM S3-Devkit N16R8

The ESP32 S3 N16R8 is a specific variant of the ESP32 S3 44Pin series of Wi-Fi & Bluetooth microcontrollers from Espressif Systems. Here’s a breakdown of its key specifications based on the naming convention.Chip.pk give Best ESP32 S3 44Pin Price in pakistan.

Decoding the Model Name:

• ESP32 S3 → The main series (dual-core Xtensa LX7 MCU, Wi-Fi 4 & Bluetooth 5).
• N16 → 16MB Flash memory (external, typically SPI NOR flash).
• R8 → 8MB PSRAM (external pseudo-static RAM, used for data storage).

Key Features of ESP32-S3 N16R8:

1. CPU: Dual-core Xtensa LX7 (up to 240 MHz).
2. Wireless Connectivity:
   • Wi-Fi 4 (802.11 b/g/n) with 2.4 GHz support.
   • Bluetooth 5 (LE + Mesh).
3. Memory:
   • 16MB Flash (for program storage).
   • 8MB PSRAM (for dynamic data, useful for graphics, audio, etc.).
4. GPIO & Peripherals:
   • Up to 45 programmable GPIOs.
   • USB OTG, SPI, I2C, UART, PWM, ADC, DAC, etc.
5. AI & Vector Instructions:
   • Supports AI acceleration with vector instructions (useful for ML tasks).
6. Low Power Modes:
   • Deep-sleep mode with ultra-low power consumption.

Typical Applications:

• IoT devices with rich interfaces (touch, display, sensors).
• Voice recognition & AI applications.
• Wireless gateways, smart home devices.
• Projects requiring large memory (e.g., GUI applications, buffering data).

Comparison with Other ESP32-S3 Models:

• ESP32-S3 N8R8 → 8MB Flash + 8MB PSRAM.
• ESP32-S3 N16R8 → 16MB Flash + 8MB PSRAM (more storage for firmware).
• ESP32-S3 N16R16 → 16MB Flash + 16MB PSRAM (higher RAM for intensive tasks).

1. Hardware Specifications (Expanded)

Core & Performance:

• Dual-core Xtensa LX7 @ 240 MHz (32-bit RISC processors).
  • Supports clock scaling (adjustable frequency for power savings).
  • Hardware floating-point unit (FPU) for faster math operations.
  • Vector instructions for AI/ML acceleration (e.g., neural networks, FFTs).

Memory Breakdown:

• 16MB External Flash (SPI NOR): Stores firmware (more space for OTA updates, graphics, or filesystems like LittleFS/SPIFFS).
• 8MB PSRAM (Octal SPI PSRAM):
  • Used for dynamic data (e.g., video buffers, audio processing, large datasets).
  • Faster than traditional SPI RAM (up to 120 MHz).

Wireless & Connectivity:

• Wi-Fi 4 (802.11 b/g/n):
  • Supports station (STA), access point (AP), and dual modes.
  • WPA3 encryption (enhanced security).
• Bluetooth 5 (LE + Mesh):
  • Long-range (BLE LR), high-throughput (2 Mbps), and mesh networking.

Peripherals & Interfaces:

• GPIOs: Up to 45 programmable pins (many are multiplexed).
• USB OTG: Built-in USB full-speed (12 Mbps) for direct host/device communication (e.g., HID, CDC).
• Touch Sensors: Up to 14 capacitive touch inputs.
• Display Interfaces:
  • LCD (8/16/24-bit parallel) for RGB panels.
  • SPI/I2C for OLEDs/e-paper.
• Analog:
  • 2 × 12-bit SAR ADCs (20 channels).
  • 2 × 8-bit DACs.
• Security:
  • AES/SHA/RSA accelerators.
  • Secure Boot + Flash Encryption (for anti-tampering).

2. Software & Development

Supported Frameworks:

• Espressif’s ESP-IDF (Official framework, FreeRTOS-based, C/C++).
• Arduino-ESP32 (Simpler Arduino API compatibility).
• MicroPython (Limited support, best for prototyping).
• Rust, Lua, and more (Community-supported).

Key Tools:

• ESP-IDF Tools: Includes compiler (GCC), debugger (OpenOCD), and partition table editor.
• VS Code + ESP-IDF Extension: Recommended for advanced development.
• PlatformIO: Cross-platform IDE with library management.

Example Use Case Code (Arduino):

#include <WiFi.h>
void setup() {
  Serial.begin(115200);
  WiFi.begin("SSID", "password");
  while (WiFi.status() != WL_CONNECTED) delay(500);
  Serial.println("Connected!");
}
void loop() { }

3. Power Consumption

• Active Mode: ~50–100 mA (Wi-Fi/BLE on, CPU at 240 MHz).
• Deep Sleep: As low as 5–20 µA (RTC memory retained, wakeable via timer/touch/GPIO).
• Optimization Tips:
  • Use light sleep (~0.8 mA) for periodic sensor readings.
  • Disable unused peripherals (e.g., ADC, PSRAM).

4. Comparison with Other ESP Models

5. Ideal Applications

1. Rich UI Devices:
   • Touchscreen dashboards (LVGL GUI library).
   • E-paper displays (e.g., smart labels).
2. Wireless Sensor Hubs:
   • Aggregates data from BLE/Wi-Fi sensors.
3. AI Edge Devices:
   • Voice recognition (TensorFlow Lite).
   • TinyML (image classification with PSRAM buffers).
4. USB Devices:
   • HID (keyboard/mouse), MIDI controllers.

6. Limitations

• No Ethernet MAC: Requires external PHY (e.g., LAN8720) for wired networks.
• 5 GHz Wi-Fi: Not supported (only 2.4 GHz).
• PSRAM Latency: Slightly slower than internal RAM (optimize critical code to use IRAM).

Customer Support:-

• Available 24/7
• Phn # 03091416242
• Mail # Cpakstore@gmail.com

Package Include:-

• 1 X S3 ESP32 44Pin

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