# Qualcomm Neural Processing SDK use cases

Source: [https://docs.qualcomm.com/doc/80-70015-50/topic/qualcomm-neural-processing-sdk-use-cases.html](https://docs.qualcomm.com/doc/80-70015-50/topic/qualcomm-neural-processing-sdk-use-cases.html)

Qualcomm Neural Processing SDK (formerly known as Qualcomm Snapdragon Neural
        Processing Engine (SNPE)) is used to run deep neural networks for inference. The use cases
        describe the image classification, object detection, and image segmentation scenarios using
        different ML models.

Note: The deep learning container (DLC) models used in the pipelines
            are available with the Qualcomm Neural Processing SDK release.

Before you run the use cases, complete the preconditions mentioned in [GStreamer command-line use cases](https://docs.qualcomm.com/doc/80-70015-50/topic/gstreamer-application-use-cases.html).

- **[Image classification and display with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-image-classification-and-display-with-mobilenet-v1.html)**  

The use cases use an Inceptionv3 model with Qualcomm Neural Processing SDK to         classify scenes, either overlay or compose the classification labels, and then display the         results.
- **[Image classification and encode with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-image-classification-and-encode-with-mobilenet-v1.html)**  

The use cases use the InceptionV3 image classification model with Qualcomm Neural         Processing SDK to classify scenes from a single camera stream and either overlay or compose         the classification labels, and then encode the stream.
- **[Object detection and display with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-object-detection-and-display-with-mobilenet-v2-ssd.html)**  

The use cases use a yolonas.dlc object detection model with         Qualcomm Neural Processing SDK to identify an object from a camera stream, overlay or         compose the bounding boxes over the detected objects, and then display the         results.
- **[Object detection and encode with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-object-detection-and-encode-with-mobilenet-v2-ssd.html)**  

The use cases use a yolonas.dlc object detection model with         Qualcomm Neural Processing SDK to identify an object from a camera stream, overlay, or         compose the bounding boxes over the detected objects, and then encode the stream as a H.264         bitstream.
- **[Image segmentation and display with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-image-segmentation-and-display-with-deeplabv3-quantized.html)**  

The use case uses the DeepLab v3 model with the Qualcomm Neural Processing SDK         runtime to identify the semantic segmentations in a scene from a camera stream, compose the         semantics and the video stream together using qtivcomposer, and then display the         results.
- **[Image segmentation and encode with Neural Processing SDK](https://docs.qualcomm.com/doc/80-70015-50/topic/single-camera-stream-with-image-segmentation-and-encode-with-deeplabv3-quantized.html)**  

The use case uses the DeepLab v3 model with the Qualcomm Neural Processing SDK         runtime to compose the semantic segmentations and original video stream, encode this stream,         and then multiplex it in an MP4 container.

**Parent Topic:** [Machine learning use cases](https://docs.qualcomm.com/doc/80-70015-50/topic/machine-learning-use-cases.html)

**Related Resources**  

- [Qualcomm GStreamer plugins](https://docs.qualcomm.com/doc/80-70015-50/topic/qim-sdk-plugins.html)

Last Published: Oct 27, 2025

[Previous Topic
Pose estimation and encode with TFLite](https://docs.qualcomm.com/bundle/publicresource/80-70015-50/topics/single-camera-stream-with-pose-estimation-and-encode.md) [Next Topic
Image classification and display with Neural Processing SDK](https://docs.qualcomm.com/bundle/publicresource/80-70015-50/topics/single-camera-stream-with-image-classification-and-display-with-mobilenet-v1.md)