Slideshow | Tomokatsu Yukishita | yre.jp

Build a Cloud-Connected Photo Frame with Raspberry Pi, Google Drive, rclone, fbi, and Python

Tue, 19 Jul 2022 00:00:00 +0000

I have been shooting with a digital SLR since 2003, and my total shot count is now at 388,524. I wanted a way to display those photos as a slideshow at home — without the hassle of manually copying files to an SD card every week.

The Problem with Commercial Photo Frames

Most digital photo frames read images from an SD card or USB drive, in the 7–10 inch range. They work fine, but constantly re-copying photos is tedious enough to make you stop using it.

What I wanted was a photo frame that pulls photos automatically from cloud storage like Google Drive. No such product seemed to exist, so I built one.

The concept: automatic photo sync from cloud storage to the photo frame

Hardware

Raspberry Pi 4

A photo frame runs 24/7, so low power consumption matters. Raspberry Pi 4 fits well.

Raspberry Pi 4 Model B 4GB (Japan authorized distributor)

Amazonで見る

Mobile Monitor

A 15.6-inch FullHD IPS mobile monitor. Choosing an IPS panel avoids the narrow viewing angles common in off-the-shelf photo frames. Mobile monitors are compact and flexible to position.

15.6-inch Mobile Monitor with Touch Panel

Amazonで見る

microSD Card and Power Supply

SanDisk High Endurance microSDHC 32GB for Dashcam and Action Cameras

Amazonで見る

Miuzei Raspberry Pi 4 USB-C Power Supply 5.1V 3A with Switch (PSE certified)

Amazonで見る

System Architecture

OS: Raspberry Pi OS

Write Raspberry Pi OS to the SD card using Raspberry Pi Imager. Since no desktop is needed for a photo frame, the Lite (CLI-only) version is sufficient.

Image Display: fbi

fbi renders images directly to the framebuffer from the command line. An earlier version used a GUI on Ubuntu but proved unstable, so I switched to this CLI-based approach.

Cloud Storage Sync: rclone

rclone downloads photos from Google Drive on a schedule. It supports over 70 cloud storage providers including Dropbox and S3.

The flow is: rclone downloads photos → fbi displays them as a slideshow.

Setup

Installing Raspberry Pi OS

Use Raspberry Pi Imager to write the image to the SD card.

Writing the OS image with Raspberry Pi Imager

Either 32-bit or 64-bit works for this use case.

Installing fbi

sudo apt-get -y install fbi

Granting Permissions

By default only root can use fbi to display images. Add the pi user to the video group:

pi@raspi3-photo:~ $ ls -Fla /dev/fb0
crw-rw---- 1 root video 29, 0 Apr 7 10:33 /dev/fb0

sudo usermod -aG video pi

Installing rclone

curl https://rclone.org/install.sh | sudo bash

After installing, run rclone config to authenticate with Google Drive.

In a headless SSH-only environment, rclone config will display a browser authentication URL during setup. Open that URL on another device to authorize access to your Google account.

Slideshow Program

Algorithm

Use rclone ls to list photos in the designated cloud storage folder
Start downloading images at random once an initial batch is available
Display downloaded images with fbi
Continue fetching more images in the background
Advance to a random new image at the configured interval
Use weighted random selection — recently shown images are deprioritized
Run rclone ls weekly to merge newly added photos into the database
Keep the database in memory (not a JSON file) for faster merging

Language: Python

The slideshow controller is written in Python. The refactored object-oriented version reduced startup time by 1700% compared to the original.

For Python learning, Python 3 Bootcamp by Silicon Valley Engineer (Udemy) was helpful.

Source Code

Published on GitHub:

GitHub - yukishita/photoView4: Cloud-connected slideshow program

Usage

Add this to crontab to start the slideshow at boot:

@reboot /home/pi/photoView4/photoView4.sh

Demonstration

The improved v4 demo. Startup to first image display is dramatically faster than the original:

Original Version (for reference)

The original downloads the full file list before starting, which makes startup slow:

Tips: Scheduled Display Power Off

Running the display 24/7 wastes electricity. Use vcgencmd in crontab to schedule power:

0 0 * * * /usr/bin/vcgencmd display_power 0
30 6 * * * /usr/bin/vcgencmd display_power 1

This turns the display off at midnight and back on at 6:30 AM. A motion or light sensor can make this even more automatic.

Summary

Component	Role
Raspberry Pi 4	Main computer (low power, always-on)
Mobile monitor	FullHD IPS display for high-quality photo viewing
fbi	Direct framebuffer image rendering from CLI
rclone	Automatically downloads photos from Google Drive
Python	Slideshow control with weighted random selection

Raspberry Pi 4 was used here, but Raspberry Pi Zero 2 W should also work. For an always-on device, choosing a lower-power board reduces running costs.

Raspberry Pi 3 + Official 7-inch Touchscreen Photo Frame with Ambient Light Sensor Auto-Brightness (BH1750FVI + I2C + Python)

Tue, 19 Jul 2022 00:00:00 +0000

After building a cloud-connected photo frame with Raspberry Pi 4, I had a spare Raspberry Pi 3 and official 7-inch touchscreen sitting around. I turned them into another photo frame — and added a GY-30 BH1750FVI ambient light sensor to automatically adjust display brightness based on the room’s lighting.

Hardware

Raspberry Pi 3

Raspberry Pi 3 Model B Single-board Computer

Amazonで見る

Official 7-inch Touchscreen

800×480px, 24-bit RGB color, 60 fps, up to 10-point multitouch.

Raspberry Pi Official 7-inch Touchscreen LCD

Amazonで見る

Case for the Official Touchscreen

Designed to house both the Raspberry Pi 3 Model B and the 7-inch display.

Raspberry Pi & 7-inch LCD Touchscreen Case ABS (RS Components, Black)

Amazonで見る

Connecting the Display

Follow the Raspberry Pi Touch Display official documentation to assemble the display.

When connecting, pay attention to the ribbon cable orientation. For the power wires, connect red to the 5V pin and black to the GND pin.

Display Rotation Setting

By default the display is rotated 180°. The fix depends on your OS version.

The lcd_rotate=2 option below is for Raspberry Pi OS Bullseye and earlier (legacy/FKMS mode). On Bookworm (2023 and later), lcd_rotate is not officially recommended — use the Screen Configuration GUI tool instead.

The config file path also differs by OS version:

Bullseye and earlier: /boot/config.txt
Bookworm and later: /boot/firmware/config.txt

For Bullseye and earlier (legacy/FKMS mode):

sudo vi /boot/config.txt

Add the following line:

lcd_rotate=2

Slideshow Program

The slideshow uses the Python script from the cloud-connected photo frame project (photoView4).

Display Brightness Control

Running the display at full brightness all the time is uncomfortable in a dark room. The official 7-inch display allows brightness control by writing a value (0–255) to a sysfs file:

echo "100" | sudo tee /sys/class/backlight/rpi_backlight/brightness

Adding an Ambient Light Sensor (BH1750FVI)

Rather than setting brightness manually, I wanted it to adjust automatically based on ambient light.

Parts

WINGONEER GY-30 BH1750FVI Digital Light Intensity Sensor Module I2C for Raspberry Pi

Amazonで見る

ELEGOO 120pcs Dupont Jumper Wires Male-Female / Male-Male / Female-Female Set

Amazonで見る

Connecting to Raspberry Pi via I2C

The BH1750FVI communicates over I2C. Refer to the Raspberry Pi GPIO pin layout for wiring.

Raspberry Pi GPIO pinout (source: Raspberry Pi official documentation)

Wiring Table

Raspberry Pi	GPIO Pin	BH1750FVI
GPIO2 (SDA)	3	SDA
GPIO3 (SCL)	5	SCL
5V Power	2	VCC
Ground	14	ADO
Ground	20	GND

BH1750FVI wired to Raspberry Pi 3 via I2C

Verifying the Sensor (Python)

After wiring, confirm data is coming through. Based on a reference implementation on GitHub:

#!/usr/bin/python3

import smbus

Bus = smbus.SMBus(1)
Addr = 0x23
LxRead = Bus.read_i2c_block_data(Addr, 0x11)
print("Illuminance: " + str(LxRead[1] * 10) + " lx")
LxRead2 = Bus.read_i2c_block_data(Addr, 0x10)
print("Brightness: " + str((LxRead2[0] * 256 + LxRead2[1]) / 1.2))

Running it confirms the sensor is working:

root@raspi3-photo:~# python br.py
Illuminance: 1650 lx
Brightness: 990.8333333333334

Auto-brightness Control Program

The final program adjusts backlight brightness smoothly based on ambient light readings:

Target brightness levels are defined per illuminance range
The display brightness is incremented or decremented one step at a time toward the target
The I2C sensor is polled every 300ms — polling faster than this results in incorrect readings with SMBus

Sensor Placement

The sensor is mounted on the protruding back section of the case, where it receives ambient light from the room.

Sensor mounted on the case back where it can see ambient light

Source Code

The complete program (object-oriented version) is on GitHub:

GitHub - yukishita/lcdBrightness2: Auto-brightness control for Raspberry Pi official display using BH1750FVI light sensor

Demonstration

The brightness adjusts smoothly as ambient light changes:

Summary

Component	Role
Raspberry Pi 3	Main computer
Official 7-inch Touchscreen	Photo frame display (800×480px)
GY-30 BH1750FVI	I2C ambient light sensor
Python (smbus)	I2C communication and brightness control logic

Adding the light sensor makes the photo frame genuinely pleasant to use — bright during the day, dimmed at night, automatically.