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System Architect Go
System Architect Go
Jul 4, 2024 · Artificial Intelligence

Optimizing Image Search System Architecture with Client‑Side Feature Extraction Using MobileNet

This article explains the architecture of an image‑search system that extracts feature vectors, stores them in a vector database, and performs similarity queries, then proposes an optimized design that offloads feature extraction to a lightweight MobileNet model running in the browser, reducing latency, server load, and component complexity.

MobileNetSystem ArchitectureTensorFlow.js
0 likes · 9 min read
Optimizing Image Search System Architecture with Client‑Side Feature Extraction Using MobileNet
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 10, 2024 · Artificial Intelligence

Real-Time Dog Detection in Browser Using TensorFlow.js and MobileNet V2

This guide demonstrates how to build a web‑based real‑time dog detector that accesses the phone camera via the browser, processes video frames with TensorFlow.js and a pre‑trained COCO‑SSD MobileNet V2 model, and plays an audio alert when a dog is recognized, all deployed on an Android device using Termux.

AndroidMobileNetTensorFlow.js
0 likes · 8 min read
Real-Time Dog Detection in Browser Using TensorFlow.js and MobileNet V2
DeWu Technology
DeWu Technology
Nov 18, 2021 · Artificial Intelligence

Background Complexity Detection for Sneaker Images Using MobileNet, FPN, and Modified SAM

The project presents a lightweight MobileNet‑FPN architecture enhanced with a modified spatial‑attention module that evaluates corner‑based self‑similarity to classify sneaker photo backgrounds, achieving 96% test accuracy—exceeding baseline CNN performance—and meeting business targets of over 80% hint accuracy and 90% mandatory enforcement.

CNNComputer VisionImage Processing
0 likes · 12 min read
Background Complexity Detection for Sneaker Images Using MobileNet, FPN, and Modified SAM
Programmer DD
Programmer DD
Apr 19, 2020 · Artificial Intelligence

How Gesture Recognition Transforms Mobile Gaming with Real‑Time AI Control

This article presents a gesture‑based human‑computer interaction system that uses Paddle Lite and MobileNet to enable real‑time control of games on Android phones, tablets, and embedded boards, detailing its architecture, data preparation, model training, and on‑device inference.

AndroidHuman-Computer InteractionMobile AI
0 likes · 11 min read
How Gesture Recognition Transforms Mobile Gaming with Real‑Time AI Control
Programmer DD
Programmer DD
Apr 17, 2020 · Artificial Intelligence

How to Make People Vanish in Real‑Time Using TensorFlow.js and MobileNet

Jason Mayes, a Google web engineer, open‑sourced a TensorFlow.js demo that removes people from live webcam video in real time using a lightweight MobileNet model, with only about 200 lines of code, and provides GitHub and CodePen links for experimentation.

Computer VisionMobileNetReal-time Video
0 likes · 9 min read
How to Make People Vanish in Real‑Time Using TensorFlow.js and MobileNet
HomeTech
HomeTech
Apr 8, 2020 · Artificial Intelligence

Application of Deep Learning for Cover Image Selection in Autohome Forum Articles

This paper presents a deep learning-based approach for selecting cover images in Autohome forum articles, employing Faster R-CNN for object detection, Mask R-CNN for human keypoint detection, and MobileNetV2 for attribute recognition, achieving an overall accuracy of 81.5%.

Cover Image SelectionMobileNetkeypoint detection
0 likes · 15 min read
Application of Deep Learning for Cover Image Selection in Autohome Forum Articles
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 2, 2020 · Artificial Intelligence

How AutoML Transformed AR Scanning: Faster, Smaller, More Accurate Models

In 2020, the AR “scan‑for‑fortune” feature achieved a full AutoML rollout on the xNN‑Cloud platform, automating network architecture design and the entire model development pipeline, which cut Android inference time by over 50%, iOS by 30%, reduced model size, and boosted accuracy by 1.6% while handling billions of in‑client inferences.

AR VisionAutoMLMobileNet
0 likes · 15 min read
How AutoML Transformed AR Scanning: Faster, Smaller, More Accurate Models
Tencent TDS Service
Tencent TDS Service
Jul 12, 2018 · Artificial Intelligence

How to Engineer MobileNet for Efficient Image Classification on Mobile Devices

This article details the engineering of MobileNet V1 for image classification on mobile terminals, covering its depthwise separable convolution architecture, data collection and preprocessing, model training with transfer learning, TensorFlow Lite conversion, deployment on iOS/Android, and GPU acceleration techniques for faster inference.

Deep LearningGPU AccelerationMobile Deployment
0 likes · 19 min read
How to Engineer MobileNet for Efficient Image Classification on Mobile Devices