# NanoOWL vs PeopleNet **URL:** \ **Category:** Jetson Orin Nano\ **Tags:** jetson-inference\ **Created:** [May 21, 2024, 1:54pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603 "2024-05-21T13:54:30Z")\ **Posts on this page:** 9\ **Page:** 1
**Author:** ![tiagoveracruzcm](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@tiagoveracruzcm](https://forums.developer.nvidia.com/u/tiagoveracruzcm)\ **Post date:** [May 21, 2024, 1:54pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/1 "2024-05-21T13:54:30Z")
I am undertaking a multi-company project to create a UAV prototype for surveillance and security of a restricted area and visual inspection of telecommunications infrastructures. My role in the project is to develop the AI component for intrusion detection and the visual analysis of infrastructures. I decided to use your NVIDIA Jetson Orin Nano Developer Kit. I was studying/researching possible intrusion detection algorithms when I discovered that you have NanoOWL and PeopleNet. However, I wasn’t sure of the differences between them. Can anyone explain the differences between the two? How could I then train the algorithms? Do you also have software to adapt the code to my project/objectives? ---
**Author:** ![TomNVIDIA](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tomnvidia/32/14181_2.png) [@TomNVIDIA](https://forums.developer.nvidia.com/u/TomNVIDIA)\ **Post date:** [May 21, 2024, 2:04pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/2 "2024-05-21T14:04:39Z")
Hello, Welcome to the NVIDIA Developer forums! Your topic will be best served in the Jetson category. > **[Jetson & Embedded Systems](https://forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/70)** > > Discussions relating to the Jetson DevKits and other Embedded computing devices I will move this post over for visibility. Cheers, Tom ---
**Author:** ![tiagoveracruzcm](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@tiagoveracruzcm](https://forums.developer.nvidia.com/u/tiagoveracruzcm)\ **Post date:** [May 21, 2024, 2:16pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/4 "2024-05-21T14:16:17Z")
My question is regarding the differences between NanoOWL and PeopleNet. Even so, should be moved to Jetson Category? ---
**Author:** ![TomNVIDIA](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/tomnvidia/32/14181_2.png) [@TomNVIDIA](https://forums.developer.nvidia.com/u/TomNVIDIA)\ **Post date:** [May 21, 2024, 2:24pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/5 "2024-05-21T14:24:35Z")
I don’t know of a better location for your topic. The Jetson folks will know for sure. ---
**Author:** ![AastaLLL](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aastalll/32/14043_2.png) [@AastaLLL](https://forums.developer.nvidia.com/u/AastaLLL)\ **Post date:** [May 22, 2024, 3:36am UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/7 "2024-05-22T03:36:51Z")
Hi, PeopleNet is a pure detection model and can be trained with our TAO toolkit. > **[Overview — Tao Toolkit](https://docs.nvidia.com/tao/tao-toolkit/latest/text/model_zoo/overview.html)** NanoOWL is a Vision Transformer (ViT) model which is optimized from an opensource model on huggingface. In short, PeopleNet uses the predefined labels but NanoOWL’s output is runtime generated. Thanks. ---
**Author:** ![tiagoveracruzcm](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@tiagoveracruzcm](https://forums.developer.nvidia.com/u/tiagoveracruzcm)\ **Post date:** [May 30, 2024, 9:01am UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/8 "2024-05-30T09:01:23Z")
So for my case I should use the PeopleNet, right? ---
**Author:** ![jaybdub](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/jaybdub/32/14043_2.png) [@jaybdub](https://forums.developer.nvidia.com/u/jaybdub)\ **Post date:** [May 31, 2024, 5:10pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/9 "2024-05-31T17:10:21Z")
@tiagoveracruzcm , Thanks for reaching out. PeopleNet is a model that is specialized in detecting people. If you need to detect people only, it is likely the better choice. NanoOWL is an “Open-Vocabulary” object detection model, that detects objects based on generic prompts like (“a chair”, “a dog”, “a hat”, etc.). This may be a good starting point if you don’t have a model for your specialized task, or have multiple classes of interest. Hope this helps. Best, John ---
**Author:** ![tiagoveracruzcm](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@tiagoveracruzcm](https://forums.developer.nvidia.com/u/tiagoveracruzcm)\ **Post date:** [June 3, 2024, 1:03pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/10 "2024-06-03T13:03:37Z")
Thank you for your help. I will use PeopleNet for people detection. I still have 2 more questions: - Does run in Jetson Orin Nano? For a flight of 30 minutes and sending the images for a outside user… - Could I use the NanoOwl for infrastructure inspection? Can detect flaws or it isn’t prepared for that? ---
**Author:** ![system](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/system/32/68080_2.png) [@system](https://forums.developer.nvidia.com/u/system)\ **Post date:** [July 2, 2024, 1:34pm UTC](https://forums.developer.nvidia.com/t/nanoowl-vs-peoplenet/293603/12 "2024-07-02T13:34:04Z")
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