# Hailo-15H application\_input\_stream silently capped at 1920×1080 — is this a hardware limit?

**URL:** <https://community.solid-run.com/t/hailo-15h-application-input-stream-silently-capped-at-1920x1080-is-this-a-hardware-limit/1127>\
**Category:** General Discussion\
**Tags:** yocto, AI\
**Created:** [April 14, 2026, 1:52am UTC](https://community.solid-run.com/t/hailo-15h-application-input-stream-silently-capped-at-1920x1080-is-this-a-hardware-limit/1127 "2026-04-14T01:52:07Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![maverickz1989](https://avatars.discourse-cdn.com/v4/letter/m/3e96dc/32.png) [@maverickz1989](https://community.solid-run.com/u/maverickz1989)\
**Post date:** [April 14, 2026, 1:52am UTC](https://community.solid-run.com/t/hailo-15h-application-input-stream-silently-capped-at-1920x1080-is-this-a-hardware-limit/1127/1 "2026-04-14T01:52:07Z")

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**Platform:** Hailo-15H SBC 2.x, Hailo Media Library v1.7.0 (toolchain v1.10.1)

**Connectivity:** Using Ethernet connection between my laptop and the board

**Sensor:** IMX678, capturing at 3840×2160@30fps

**Issue:**  
When configuring `application_input_streams` with a resolution of 3840×2160, the frontend silently delivers 1920×1080 buffers. No error is logged — the downscale happens without warning.

**How I verified:**  
Added a debug print in `dsp_stages.hpp` before the DSP crop call to log the actual buffer dimensions received from the frontend:

```auto
hailo_dsp_buffer_data_t in_buffer_data = input_buffer->buffer_data->As<hailo_dsp_buffer_data_t>();
std::cout << "[DEBUG] DSP input buffer: width=" << in_buffer_data.properties.width
          << " height=" << in_buffer_data.properties.height << std::endl;

```

Output: `[DEBUG] DSP input buffer: width=1920 height=1080`

**Config (`daylight_profile.json`):**

```auto
"input_video": {
    "resolution": { "width": 3840, "height": 2160, "framerate": 30 }
},
"application_input_streams": {
    "method": "INTERPOLATION_TYPE_BILINEAR",
    "format": "IMAGE_FORMAT_NV12",
    "resolutions": [
        { "width": 854, "height": 480, "framerate": 30, "pool_max_buffers": 40 },
        { "width": 1280, "height": 720, "framerate": 30, "pool_max_buffers": 14 },
        { "width": 3840, "height": 2160, "framerate": 30, "pool_max_buffers": 20 }
    ]
}

```

The third stream (sink2, used for AI inference) is configured at 3840×2160 but the actual buffer delivered is 1920×1080.

**Context / why this matters:**  
I’m running a YOLOv8 tiling pipeline (adapted the ai\_camera\_apps on branch v1.7.0: [hailo-camera-apps/apps/h15/native/ai\_example\_app at 1.7.0 · hailo-ai/hailo-camera-apps · GitHub](https://github.com/hailo-ai/hailo-camera-apps/tree/1.7.0/apps/h15/native/ai_example_app) to utilise YOLOv8 instead of YOLOv5) for small object detection. Tiles are cropped from the application\_input\_stream via `dsp_utils::perform_dsp_multi_resize()`. With the stream capped at 1080p, each 640×640 tile covers a larger portion of the frame, reducing effective resolution for small objects. I’d like to crop directly from the 4K buffer to maximize detection quality. I hope to minimise latency and maximise throughput while ensuring small object detection is reliable.

**Questions:**

1. Is there a maximum resolution for `application_input_streams` on the Hailo-15H? Is 1920×1080 a hardware limit of the ISP multi-resize output, or configurable?

2. If limited per-stream, is there a total bandwidth budget across all streams? Would removing sink0/sink1 allow sink2 to output at 4K?

3. Is there an alternative path to get 4K buffers into the DSP for cropping (e.g., tapping into the ISP output before the multi-resize stage)?

Thank you!

---

<div class="post-metadata">

**Author:** ![jnettlet](https://dub1.discourse-cdn.com/flex005/user_avatar/community.solid-run.com/jnettlet/32/62_2.png) [@jnettlet](https://community.solid-run.com/u/jnettlet)\
**Post date:** [April 14, 2026, 7:18am UTC](https://community.solid-run.com/t/hailo-15h-application-input-stream-silently-capped-at-1920x1080-is-this-a-hardware-limit/1127/2 "2026-04-14T07:18:17Z")

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This question relates directly to the Hailo BSP, rather than our hardware implementation of it. I would recommend you bring this up on Hailo’s community forum, as they can better support the software they wrote for the platform. [https://community.hailo.ai/](https://community.hailo.ai/)