# Qualcomm IM SDK release 1.3

## Release information

Table : Software version

| Software | Version |
| --- | --- |
| Yocto | Kirkstone 4.0.22 |
| Kernel | 6.6.52 |

Table : Release tag version

| Release tag | Version |
| --- | --- |
| Firmware | r1.0\_00058.0 |
| Manifest | qcom-6.6.52-QLI.1.3-Ver.1.1 |
| Meta-qcom-extras | r1.0\_00059.0 |
| Qualcomm IM SDK | qcom-6.6.52-QLI.1.3-Ver.1.1\_qim-product-sdk-1.1.2 |

Table : Supported platforms and reference kits

| SoC platforms | Reference kits |
| --- | --- |
| QCS6490 | <ul class="simple"><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Vision Development Kit</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Core Development Kit</p></li><br></ul> |
| QCS5430 | <ul class="simple"><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Lite Vision Development Kit</p></li><br><li><p>Qualcomm Dragonwing<sup>TM</sup> RB3 Gen 2 Lite Core Development Kit</p></li><br></ul> |
| Qualcomm Dragonwing^TM^ IQ-9075 | Qualcomm Dragonwing^TM^ IQ-9075 Evaluation Kit (EVK) |
| Qualcomm Dragonwing^TM^ IQ-8275 | Qualcomm Dragonwing^TM^ IQ-8275 Beta Evaluation Kit (EVK) |

## Contents of the release

The contents of the Qualcomm IM SDK release include:

- Recipes for building the individual components:

    - Qualcomm IM SDK
    - LiteRT
    - Qualcomm Neural Processing SDK
    - Qualcomm AI Engine direct SDK
- Sample applications that demonstrate how to use the Qualcomm IM SDK to develop AI edge-based applications.

To get started with the Qualcomm IM SDK, see [Qualcomm Intelligent Multimedia (IM SDK) Quick Start Guide](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-51/introduction.html).

## New features

The following new features applicable to QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 are introduced in the Qualcomm IM SDK release:

- AI/ML supports execution of batched Qualcomm Neural Processing SDK models and batched Qualcomm Neural Network models.
- Container supports application deployment using an API-based approach–GStd.

## Sample applications

| Sample application | Description | Supported SoCs |
| --- | --- | --- |
| **AI/ML applications** | **AI/ML applications** | **AI/ML applications** |
| `gst-ai-face-detection` | Collects the live video input from a camera, file, or an RTSP stream and uses the Qualcomm Neural Network face detection model to produce a preview with the overlaid AI model output on the HDMI display. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |
| `gst-ai-face-recognition` | Collects the live video input from a camera or an RTSP stream and shares this input for face detection and recognition. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |
| **Video application** | **Video application** | **Video application** |
| `gst-ai-smartcodec-example` | Reduces the network bandwidth or storage for input feed from a camera or file source. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |

For the complete list of sample applications supported in the Qualcomm IM SDK and instructions on how to run them, see [Sample applications](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-50/example-applications.html).

## Python sample applications

| Sample application | Description | Supported SoCs |
| --- | --- | --- |
| **AI/ML applications** | **AI/ML applications** | **AI/ML applications** |
| `gst-parallel-inference.py` | Supports multiple AI/ML models run in parallel (object detection, classification, segmentation, and pose detection) on streams from a camera, file source, or RTSP. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |
| `gst-daisychain-detection-pose.py` | Collects the live video input from a camera or an RTSP stream and shares this input for face detection and recognition. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |
| **Video application** | **Video application** | **Video application** |
| `gst-concurrent-videoplay-composition.py` | Allows concurrent video playback for MP4 AVC (H.264) videos and performs composition on a video wall display. | QCS6490, Dragonwing IQ-9075, and Dragonwing IQ-8275 |
| **Camera application** | **Camera application** | **Camera application** |
| `gst-multi-camera-stream-example.py` | Enables you to stream from two camera sensors simultaneously. | QCS6490 |

For the complete list of Python sample applications supported in the Qualcomm IM SDK and instructions on how to run them, see [Python applications](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-50/python-sample-applications.html).

## Issues resolved

The following issues are resolved in the Qualcomm IM SDK release:

- 18 fps is observed with `gst-ai-parallel-inference` for file source.
- `gst-ai-parallel-inference` hangs and black screen is observed at EOS for RTSP source.
- RTSP sink streaming fails to play when you use multiple sinks such as RTSP, file sink, and display with two or more input streams in `multi-input-output-object-detection`.
- `gst-ai-monodepth` and `gst-ai-parallel-inference` fails on Dragonwing IQ-9075.

## Limitations

The following are the known limitations in the Qualcomm IM SDK release:

- When using the `qtioverlay` plugin with detection models, frame drops may occur, especially with many detections.

    **Workaround**: Use `qtivcomposer` for detection-based ML use cases.
- A drop of 1–2 fps may be observed with the three-stream camera use case.
- AI/ML parallel inference for 24 streams varies between 25–30 fps, which is less than the expected 30 fps.
- Segfault occurs while using Ctrl + C for Qualcomm^®^ Neural Processing use cases with DLC models.
- Frame drops are observed with the Qualcomm Neural Network plugin while running on GPU delegate.
- Low FPS with daisychain detection and pose GStreamer pipeline.
- Stability issues are observed with GStreamer pipeline in batched model use cases.
- High inference time is observed with `deeplabv3_resnet50.dlc`.
- Concurrent streams with smart codec functionality encounter pipeline stalls and cleanup errors at the end of the stream.
- Pose estimation for the `facemap_3dmm_quantized.bin` (Qualcomm Neural Network) AI hub model doesn’t work with Qualcomm IM SDK pipeline due to caps mismatch.
- Caps mismatch with the AI hub face detection Qualcomm Neural Network model.
- The `gst-ai-parallel-inference` sample application hangs on Dragonwing IQ-8275.
- Support for the FastCV engine is disabled in `qtivtransform`.

## Related documents

- [Qualcomm Intelligent Multimedia SDK (IM SDK) Reference](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-50/overview.html)
- [Qualcomm Intelligent Multimedia (IM SDK) Quick Start Guide](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-51/introduction.html)
- [Qualcomm Dragonwing RB3 Gen 2 Dev Kit Quick start](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-253/getting_started.html)
- [Qualcomm Linux Build Guide](https://docs.qualcomm.com/bundle/publicresource/topics/80-70017-254/introduction.html)

Last Published: Jul 20, 2026

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