On this blog, I present solutions for a variety of features that you can include in your digital picture frame project.
Often I get asked for recommendations, so in this article, I will show which hard- and software I am personally using for my living room photo frame.
I will update this article whenever there is a change (relatively often) and provide the links to my posts with step-by-step instructions.
Read about the advantages of the Raspberry Pi for digital picture frame projects. An overview of the various Raspberry Pi Models is here.
As a case, I now Flirc cases for all my Raspberry Pis because of their superior passive cooling technology.
The display is a 32 inches BenQ PD3200 4K monitor in 16:9 format with 3840 x 2160 pixels.
I had a black anodized aluminum frame custom-made in a frame shop. More about this project is here.
The Amazon echo dot is not something I have bought especially for this project, but I found it easy and most convenient to use it to voice-control my digital frame. And often, these devices are heavily discounted.
When you have a Raspberry Pi, you choose the Raspberry Pi OS unless you have some special use cases that require an alternative. Note that Pi3D PictureFrame requires Raspberry Pi Buster. It won’t run on Bullseye.
I use SAMBA for network sharing with a config file customized for macOS computers. But you can use the same config for Microsoft Windows.
While I am very excited about rclone to connect the Raspberry Pi to Dropbox, I am back to using Syncthing since I am using the Duplicates Finder script. Unfortunately, rclone/Dropbox is unidirectional at the moment which doesn’t work with Duplicates.
The Syncthing folder is shared across several computers so that everyone can add or remove images on their regular system.
No surprise here, I use Pi3D PictureFrame 2021.11.04, the completely rewritten version with crossfading transitions, set to a fade delay of 10 seconds and an image duration of 200 seconds. I also use the geolocation and matting features.
I am processing my photos in Adobe Lightroom and exporting them in the pixel dimensions of the 4K screen (3840 x 2160).
I have a Raspberry Pi 4 running exclusively Home Assistant with the Nabu Casa service connecting it with Amazon Echo. I can completely remote control and create smart photo filters through the PictureFrame Home Assistant integration.
This enables me to set up Routines in the Alexa app, that are activated by voice commands and trigger a Home Assistant script that sends MQTT messages picked up by the picture frame.
Nabu Casa is the only service that is not free with US$5 per month, but it also supports the ongoing development of Home Assistant, which is outstanding software. And I need Nabu Casa for the Alexa interface.
The Node-Red solution is a free alternative but has some issues with the latest generation of Amazon Echos and needs a software update.
I also have many automations in Home Assistant that, e.g. turn the frame off when no one is home.
Also, in the Home Assistant dashboard, I get the number of images on my picture frame, and I can trigger any of the scripts if I don’t want to talk to Alexa.
I had some reliability issues with external cloud-based MQTT providers, so I installed Mosquitto on the picture frame.
If you are using Android, use DashMQTT.
This is my current mix of hard- and software for the digital picture frame in our living room that enjoys a high WAF – a key issue for any electronic device!
It requires little or no maintenance… unless, of course, I find new things to add and to experiment with!
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- How I built a digital picture frame with a Raspberry Pi
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- How to build a gorgeous digital photo frame with a Raspberry Pi based on 2023 Bookworm
- How I added smooth crossfading image transitions to my Raspberry Pi digital picture frame