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bird_bar [2026/03/26 21:29] – improve clarity of intro qlyoungbird_bar [2026/03/26 21:39] (current) – link to devkit qlyoung
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 I should also mention this installation is located on the second floor of my apartment building. Putting it up and performing maintenance involves leaning out of the window, so I was anxious to build a durable, maintenance free installation. I should also mention this installation is located on the second floor of my apartment building. Putting it up and performing maintenance involves leaning out of the window, so I was anxious to build a durable, maintenance free installation.
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 +===== Hardware =====
 +
 +As of 2026 birdbar runs on an [[https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/nano-super-developer-kit/|Nvidia Jetson Orin Nano]]. With a TensorRT-optimized kernel and recent firmware upgrades to the board to unlock additional performance, classification takes about 50 ms/frame, achieving around 20 frames per second. Classification runs at 480x800 resolution.
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 +In the past (2021 thru early 2026) the setup was an Intel NUC with a discrete PNY GTX 1070 connected via Thunderbolt 3 in an eGPU enclosure. It's wild that what used to take a dedicated computer and discrete graphics card has now shrunk to fit entirely on a SODIMM SoM package!
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 +Webcam is a Logitech Streamcam.
  
 ===== Bird Identification ===== ===== Bird Identification =====
Panorama theme by desbest
bird_bar.1774560550.txt.gz · Last modified: by qlyoung
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