








📸 Elevate your Raspberry Pi projects with quad-lens precision and pro-grade clarity!
The Arducam 16MP Autofocus Quad-Camera Kit integrates four synchronized 16MP IMX519 sensors into a single Raspberry Pi or Nvidia Jetson setup, delivering ultra-high resolution multi-angle imaging and video. Compatible with official Pi camera software and optimized for advanced applications like VR, AR, and SLAM, this compact, lightweight kit empowers developers and creators to capture rich, synchronized visual data without expensive hardware.






| RAM | LPDDR4 |
| Wireless Type | 802.11b |
| Brand | Arducam |
| Series | Arducam Camarray HAT |
| Operating System | Linux |
| Item Weight | 3.52 ounces |
| Package Dimensions | 4.92 x 3.66 x 2.52 inches |
| Processor Brand | NVIDIA |
| Number of Processors | 4 |
| Manufacturer | Arducam |
| ASIN | B09TSGMCM9 |
| Country of Origin | China |
| Date First Available | March 3, 2022 |
N**L
Poorly designed and no support.
If you're looking for a camera for 3D printing steer away from the IMX519. After further research I discovered these are not supported by OctoPi, Fluidd, Mainsail or Crowsnest on rpi4. If you are looking to use these for a different purpose you can get them to work on at least the rpi4 (only model I have) but the supporting software can't even detect the autofocus feature, which was the main reason I chose to purchase these. I found a few threads where people were able to find a workaround on the focusing issue, but it involves vast knowledge of writing, editing or creating scripts.
R**R
Great support and Easy to use if you know what you're doing
I didn't know what I was doing and for a while I was struggling. luckily for me, they have extensive documentation and a very active support team. Eventually, I had to get the support team live to help me, and it turns out my main issue was that I didn’t have all four cameras connected at once, which is a requirement for it to work. Anybody who is needing less than four cameras should look at their other products.
S**N
Now working with Jetson Nano
After several wasted hours trying to get this to work, it seems like the drivers are just not compatible with the Jetson Nano even though it says it is. If someone was able to get it working on a Nano, please let me know what steps you took.
D**N
doesnt include mounts even though the description says it does
doesnt include the mounts even though the description says it has 1/4" 20 threaded mount.
J**M
Delicate to get working on Raspberry Pi 4B
Update: This board works if you get all the little details right - it’s a bit fussy, there are several versions of the documentation that say slightly different things, and some error messages are fine to ignore while others are not. In short, you’ll benefit from having some prior experience with buggy hardware/software bring-up. I suppose that’s the price to pay for a system that’s much cheaper than industrial vision solutions.I got these to work on my Pi 4B after a 90-minute support call with Arducam and follow up message where they said I need to use an older Raspbian release (22-01-08). Apparently you also need at least three cameras of the four connected to get any images.Original review:I bought two of these and followed two sets of instructions on the Arducam website for each, and one gave me purple static while the other one is showing only a black screen.After posting on the Arducam forum, the support team got in touch with me, so hoping to get it working with them.At the moment, this seems like a DIY product that is a little rough around the edges. I will update my rating based on whether we can get this working in the coming days.
A**R
Poor Customer Service and Compatibility
This product does not work as advertised. Customer support from the company was unhelpful. Cannot use product on my device.
Trustpilot
2 months ago
2 weeks ago