In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

在智能摄像头里识别行人、在工厂流水线上检测缺陷零件、在手机相册中自动标记人脸——这些看似简单的功能背后，都离不开一个关键技术：目标检测。它不仅要“认出”图像中有什么，还得精确指出“在哪里”。相比单纯的图像分类，这一步跨越让AI真正 ...

在智能制造车间的质检线上，一台工业相机每秒捕捉数百张电路板图像，系统必须在毫秒级内判断是否存在焊点虚接、元件错位等缺陷。这类对精度与实时性双重要求极高的任务，正是现代目标检测技术大显身手的舞台。而支撑这一能力背后的核心工具之一 ...

Collision detection between a Capsule and a Line Segment and a Capsule and a Capsule. Prerequisite: Linear Algebra (Vectors, Matrices, Dot Product, Cross Product ...

Abstract: This paper presents the design and implementation of an autonomous rover capable of obstacle avoidance, path retracing, and real-time object detection, utilizing a Raspberry Pi as the ...

This wiki describes how to work with object detection models trained using TensorFlow Object Detection API. OpenCV 3.4.1 or higher is required. Deep learning networks in TensorFlow are represented as ...

Abstract: Objects in household that are frequently in use often follow certain patterns with respect to time and geographical movement. Analysing these patterns can help us keep better track of our ...