Qualcomm face detection. This model's architecture was developed by Qualcomm.


  1. Qualcomm face detection. Detects attributes (liveness, eye closeness, mask presence, glasses presence, sunglasses presence) that apply to a given face. Detects facial landmarks (eg, nose, mouth, etc. The result is accurate, precise, real-time facial recognition with low latency, low power consumption and on-device. Lightweight-Face-Detection: Optimized for Mobile Deployment Lightweight and efficient face detector A small and accurate model for detecting bounding boxes for faces in images. Designed for sub-millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image. This is based on the implementation of MediaPipe-Face-Detection found here. A small and accurate model for detecting bounding boxes for faces in images. Learn more about applications for FaceMe in security, access control, eKYC, finance, 2FA, retail/hospitality and robotics We would like to show you a description here but the site won’t allow us. Lightweight-Face-Detection-Quantized: Optimized for Mobile Deployment face_det_lite_quantized is a face detection model face_det_lite_quantized is a machine learning model that detect face in the images This model is an implementation of Lightweight-Face-Detection-Quantized found here. Materials Required / Parts List / Tools DragonBoard 410c May 23, 2025 · By porting their application to SoCs from Qualcomm CyberLink has implemented AI acceleration on NPU and GPU, with excellent results in processing speed. ” Comprehensive facial analysis by extracting face features. This model's architecture was developed by Qualcomm. This repository provides scripts to run Facial-Landmark-Detection-Quantized on Qualcomm® devices. Nov 21, 2024 · Access control in this example pipeline, we leverage three of our custom-built models released on Qualcomm AI Hub, the Lightweight Face Detection, the Facial-Landmark-Detection, and the Facial Attribute Detection models, to build a face-based access control system. This repository provides scripts to run Facial-Landmark-Detection on Qualcomm® devices. ). Facial-Landmark-Detection Real‑time 3D facial landmark detection optimized for mobile and edge. This repository provides scripts to run MediaPipe-Face-Detection on Qualcomm® devices. . Feb 13, 2025 · Each have published five custom-built models to date, each providing unique benefits such as person foot detection, PPE detection, and advanced facial analysis. Imagine that your doorbell can greet you when you arrive home and unlock the door when your hands are full of groceries. This repository provides scripts to run MediaPipe-Face-Detection-Quantized on Qualcomm® devices. This repository provides scripts to run Lightweight-Face-Detection Lightweight-Face-Detection Lightweight and efficient face detector. Iam using qc face detection model "mediapipe_face-mediapipefacedetector. Contribute to quic/sample-apps-for-qualcomm-linux development by creating an account on GitHub. Dec 5, 2019 · The main goal of the project is to demonstrate the power of the DragonBoard 410c to run a modern computer vision application for facial detection and recognition. Designed for sub‑millisecond processing, this model predicts bounding boxes and pose skeletons (left eye, right eye, nose tip, mouth, left eye tragion, and right eye tragion) of faces in an image. tflite" and executing it on QC platform QAM8775p, the output I got are scores and bounding box text files, found there are 896 entries for a 256x256 image input (contains single face), yaml information This model is an implementation of MediaPipe-Face-Detection-Quantized found here. Detect faces and locate facial features in real‑time video and image streams. Using powerful libraries like Caffe2 and OpenCV, the software finds faces in the image and use a DNN to classify the person. This repository provides scripts to run Lightweight-Face-Detection-Quantized on Qualcomm® devices. MediaPipe-Face-Detection Detect faces and locate facial features in real‑time video and image streams. This repository provides scripts to run Facial-Attribute-Detection on Qualcomm® devices. Sep 25, 2025 · In retrospect, Qualcomm’s pitch at the 2021 Summit for an “always-on camera” was ahead of its time–except that here, the lidless lens will be far more capable than a camera part that performs low-resolution face detection, a feature that Qualcomm rebranded a year later to “always-sensing camera. More The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image. More details on model performance across various devices, can be found here. 38s qvum kvh18w 22aph wagu z97f jhv dpc 2a4l cqdfh