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🤖📸 Capture Smarter, See Further — The AI Camera for the Visionary Maker
The Raspberry Pi AI Camera features a 12.3MP Sony IMX500 sensor with an integrated neural network accelerator, enabling on-device AI inference without relying on external GPUs. Designed for Raspberry Pi compatibility, it includes 200mm cables and supports high-resolution video modes up to 4056×3040 at 10fps. Manual focus and a 76-degree field of view provide creative control, while the low-power inference engine ensures efficient edge AI performance. Ideal for makers and developers exploring embedded machine vision projects.
| ASIN | B0DJ8VFWKM |
| Aperture Modes | manual |
| Autofocus | No |
| Best Sellers Rank | #1,396 in Single Board Computers (Computers & Accessories) |
| Brand | Raspberry Pi |
| Built-In Media | Raspberry Pi AI Camera, 200mm cables for connection to all Raspberry Pi computers |
| Camera Flash | No Flash |
| Color | black |
| Connectivity Technology | USB |
| Continuous shooting speed | 10 FPS |
| Customer Reviews | 4.3 4.3 out of 5 stars (18) |
| Effective Still Resolution | 12 MP |
| Exposure Control Type | Manual |
| File Format | JPEG, MP4 |
| Flash Modes Description | off |
| Focal Length Description | 7.857 millimeters |
| Focus Type | Manual Focus |
| ISO Range | 100-6400 |
| Item Weight | 0.01 Kilograms |
| Light Sensitivity | 100-3200 |
| Macro Focus Range | 10 cm to infinity |
| Manufacturer | Raspberry Pi |
| Maximum Aperture | 2.8 f |
| Maximum Focal Length | 7.86 Millimeters |
| Maximum Shutter Speed | 1/10 Sek. |
| Media Type | SD Card |
| Photo Sensor Resolution | 12.3 MP |
| Screen Size | 7.86 Millimeters |
| Sensor Type | CMOS |
| Shooting Modes | 4K, 1080p |
| Video Capture Format | MP4, MOV |
| Video Capture Resolution | 4056x3040, 2028x1520 |
| Viewfinder Type | LCD screen |
| Warranty Description | 1 Year Manufacturers Warranty |
| Water Resistance Level | Not Water Resistant |
H**N
Beta Test of this interesting Cam
Just got it - it’s a little pricey but supposedly it has neural nets on it: • You don’t get a full ML framework preloaded. • You do get the ability to run small CNN models right on the chip, without having to ship every frame to a GPU. Potentially good for object detection…will update soon 💚🖖😊
J**S
“Good for Pi, but driver limitations pushed me to Jetson for AI workloads”
I initially picked this camera to use with a Raspberry Pi for an edge AI detection setup, but ran into driver and compatibility limitations when trying to integrate it into a real-time computer vision pipeline. What worked: • Clean hardware integration with the Raspberry Pi • Stable connection through the CSI interface • Good starting point for basic camera use Where I ran into issues: • Limited driver support for advanced AI workflows • Compatibility challenges when trying to integrate with real-time detection pipelines (OpenCV / AI models) • Not ideal for more demanding inference setups Because of that, I ended up moving my detection pipeline to a Jetson Orin Nano, where GPU acceleration and better AI ecosystem support made a big difference. Big takeaway: This camera works fine for standard Raspberry Pi projects, but if you’re planning to run real-time detection or AI workloads, you’ll want to consider your full stack — hardware, drivers, and inference support. For edge AI use cases, platform choice (like Jetson vs Pi) matters just as much as the camera itself.
9**3
Decent so far
A little bit of work to get it going. Tried the example Python programs from Sony since this is their IMX500 sensor. Lots of weird problems, then I figured out I also needed to increase VRAM to 512 and install GPL drivers in addition to the IMX500 package. This may be dependent on the attached monitor.
A**O
Bom produto
P**R
Bei mir läuft die Objekt Erkennung damit ganz gut. Einfach KI-generierten Beispielcode verwendet, compiliert und drauf geflashed. Vorher die Cam mit dem Raspi 5 ordentlich verbunden, neu gestartet, läuft
Trustpilot
2 weeks ago
1 day ago