GoPoint   GoPoint is a user-friendly application that allows the user to launch preselected demonstrations included in the NXP provided BSP and follows the quarterly release roadmap for BSP How to launch GoPoint nxf78977_0-1736359196586.png  nxf78977_1-1736359205498.png   GoPoint Demo On FRDM-IMX93 Board Since FRDM-IMX93 board’s BSP is based on standard BSP release, GoPoint is included in FRDM-IMX93 Yocto build by default. List of 9 demos available on FRDM-IMX93 Board: Image Classification Object Detection Selfie Segmenter i.MX Smart Fitness DMS (Driver Monitor System) ML Benchmark Video Test i.MX Smart Kitchen i.MX E-Bike VIT   Image Classification Demo Image classification is a ML task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, it refers to images in which only one object appears and is analyzed. This example is using NNStreamer.   nxf78977_4-1736359523181.png     nxf78977_5-1736359534729.png     Object Detection Demo Object detection is the ML task that detects instances of objects of a certain class within an image. A bounding box and a class label are found for each detected object. This example is using NNStreamer. nxf78977_6-1736359555975.png   nxf78977_7-1736359565252.png     Selfie Segmenter Demo Selfie Segmenter showcases the ML capabilities of i.MX 93 by using the NPU to accelerate an instance segmentation model. This model lets you segment the portrait of a person and can be used to replace or modify the background of an image. This example is using NNStreamer. nxf78977_8-1736359585667.png    nxf78977_9-1736359596387.png     i.MX Smart Fitness Demo i.MX Smart Fitness showcases the i.MX' Machine Learning capabilities by using an NPU to accelerate two Deep Learning vision-based models. Together, these models detect a person present in the scene and predict 33 3D-keypoints to generate a complete body landmark, known as pose estimation. From the pose estimation, the application tracks the 'squats' fitness exercise. nxf78977_10-1736359614870.png     nxf78977_11-1736359622158.png     DMS (Driver Monitor System) Demo This application showcases the capability of implementing DMS on i.MX 93 platform, and the performance boost brought by Neural Processing Unit (NPU). DMS uses four ML models in total to achieve face detection, capturing face landmark and iris landmark, smoking detection and calling detection. nxf78977_12-1736359641217.png    nxf78977_13-1736359652368.png     ML Benchmark Demo This example is based on benchmark_model tool in Tensorflow Lite framework, which allows to easily compare the performance of TensorFlow Lite models running on CPU (Cortex-A) and NPU. nxf78977_14-1736359678122.png   Video Test Demo This is a simple demo that allows users to play back video captured on a camera or a test source. It’s based on gstreamer pipeline.   nxf78977_15-1736359699469.png     nxf78977_16-1736359711682.png     i.MX Smart Kitchen Demo i.MX Smart Kitchen showcases the Multimedia capabilities of i.MX to emulate an interactive kitchen through a GUI controlled by voice commands. The GUI is based on LVGL (Little Versatile Graphic Library) and NXP's Voice Intelligent Technology (VIT) supports the voice commands. Usage: Keyword + command nxf78977_2-1736359469080.png nxf78977_3-1736359481118.png   nxf78977_17-1736359761639.png    i.MX E-Bike VIT Demo i.MX E-Bike VIT showcases the Multimedia capabilities of i.MX to emulate an interactive ebike through a GUI controlled by voice commands. The GUI is based on LVGL (Little Versatile Graphic Library) and NXP's Voice Intelligent Technology (VIT) supports the voice commands. Usage: Keyword + command   nxf78977_18-1736359794618.png    nxf78977_19-1736359806834.png   Useful Link GoPoint User Guide: https://www.nxp.com/webapp/Download?colCode=GPNTUG GoPoint repo: https://github.com/nxp-imx-support/nxp-demo-experience-demos-list/tree/lf-6.6.36_2.1.0 (Including source code of demo: Selfie Segmenter, DMS, ML benchmark, Video test) Image Classification/Object Detection: https://github.com/nxp-imx/eiq-example/tree/lf-6.6.36_2.1.0 i.MX Smart Fitness: https://github.com/nxp-imx-support/imx-smart-fitness i.MX Smart Kitchen: https://github.com/nxp-imx-support/smart-kitchen i.MX E-Bike VIT: https://github.com/nxp-imx-support/imx-ebike-vit