DS1307 RTC Module

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It is a real-time clock (RTC) module with DS1307 chip. It works with I2C communication protocol and connects to A4 (SDA) and A5 (SCL) pins of Arduino. Thanks to the CR2032 battery on it, it continues to maintain the time and date information even if the Arduino is de-energized. It provides uninterrupted time tracking for projects by keeping seconds, minutes, hours, days, months and years. It is widely used in projects such as data storage, alarm systems, automatic irrigation and timers.

Projects using this component

Dot Matrix Clock and Calendar (MAX7219, DS1307)

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Dot Matrix Clock and Calendar (MAX7219, DS1307)

It is a project that displays real-time clock and calendar information on MAX7219 8x32 dot matrix LED display with DS1307 RTC module. In the clock display, two dots blink every second, reflecting the

Dot Matrix Clock, Calendar and Weather Station (MAX7219, DS1307)

DS1307 RTC module and DHT22 temperature-humidity sensor is a project that displays real-time data on MAX7219 8x32 dot matrix LED display. The display shows the temperature in Celsius and Fahrenheit, h

Digital Clock with ESP32 and DS1307 RTC (I2C + LCD)

In this project, we display the time and date on a 16x2 I2C LCD screen using the DS1307 real-time clock (RTC) module. The DS1307 is a battery-backed RTC that maintains the time even if the ESP32 is powered off. Both modules share the same I2C bus (SDA/SCL), allowing us to learn how to control multiple devices using just two signal wires. Through this project, you will gain practical knowledge of the I2C communication protocol, RTC module operation, and dynamic data display on an LCD screen.

ESP32 Temperature Data Logger (DHT22 + DS1307 RTC + microSD + OLED)

Build a timestamped temperature logger with ESP32! Read DHT22 temperature/humidity every 10 seconds, get real-world time from DS1307 RTC, and log to microSD card as CSV. The OLED displays live temperature (large font), humidity percentage, timestamp, and log counter. The `/temp_log.csv` file on the SD card opens in Excel, Google Sheets, or Python pandas for analysis — perfect for greenhouse monitoring, home/room temperature tracking, laboratory data collection, food storage conditions, or beehiv

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