3D Object Detection

Nvidia Jetson Nano: Custom Object Detection from Scratch Using TensorFlow and OpenCV

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Nvidia Jetson Nano: Custom Object Detection from Scratch Using TensorFlow and OpenCV

Author of this article: Reprinted from: https://medium.com/swlh/nvidia-jetson-nano-custom-object-detection-from-scratch-using-tensorflow-and-opencv-113fe4dba134 The purpose of this blog is to guide users in creating a custom object detection model optimized for performance to be used on the NVidia Jetson Nano. Table of Contents: Required Materials Creating a Custom Dataset Preprocessing Labeling Creating TFRecords CNN Training Model Installing Raspberry Pi Camera on … Read more

Using the RK3588 Chip NPU: Running MobileNet Model in Windows 11 Docker and Deploying to Development Board for Object Detection

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Using the RK3588 Chip NPU: Running MobileNet Model in Windows 11 Docker and Deploying to Development Board for Object Detection

The Objective of This Article This article will practice the MobileNet image classification example in the RKNN Docker environment and deploy it to the RK3588 development board using the adb tool. For an introduction to MobileNet, please refer to the previous article. Development Environment Description Host System: Windows 11 Target Device: Android development board equipped … Read more

How to Detect Human Eyes with MATLAB? Use This Function for Object Detection

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How to Detect Human Eyes with MATLAB? Use This Function for Object Detection

Accurately identifying human eyes and locating their positions is crucial for numerous applications. From identity verification in security monitoring to gaze tracking in human-computer interaction, reliable human eye recognition technology is indispensable. The following code demonstrates a process for human eye recognition and position marking using MATLAB. Estimated reading time: 5 minutes. 1. Code %% … Read more

Coresight (Part 4) Channel Interface

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Coresight (Part 4) Channel Interface

The channel interface is used for transmitting events between different Coresight components. It is implemented using two components: CTM: Cross Trigger Matrix, which receives CTI channel signals and broadcasts them to other CTIs. CTI: Cross Trigger Interface, which receives trigger signals, sends trigger signals, receives channel signals, and sends channel signals. Typical applications of the … Read more

Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

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Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network

This Issue’s Paper Share 2024 Crane Wheel Pressure Detection Method Using Sensor Array and Neural Network Authors: Wan Dang, Zhang Chong, Wang Jinwen Abstract: To accurately and conveniently conduct crane wheel pressure testing, this paper develops a wheel pressure detection sample based on the strain-wheel pressure model. The strain generated under the crane wheel is … Read more

Arm Embedded AI Teaching Series – Object Detection Demonstration System Experiment Box

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Arm Embedded AI Teaching Series - Object Detection Demonstration System Experiment Box

Anxin Education, as the only official strategic partner of Arm Education, fully integrates high-quality industrial and educational resources. To promote the reform and development of AI talent training in universities and accelerate the construction of AI majors.Anxin Education has launched the Arm Embedded AI Teaching Kit suitable for the construction of AI courses in universities, … Read more

Animal Target Detection Based on YOLOv5 and Raspberry Pi 4B

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Animal Target Detection Based on YOLOv5 and Raspberry Pi 4B

Object detection is of great significance in the field of computer vision. YOLOv5 (You Only Look One-level) is a representative method among object detection algorithms, renowned for its efficiency and accuracy, and has shown outstanding performance in various object detection tasks. This article will detail how to train the YOLOv5 model on a more powerful … Read more

Enhancing Smart Home Device Interaction with TensorFlow

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Enhancing Smart Home Device Interaction with TensorFlow

Today, let’s talk about how to use TensorFlow to enhance the interaction experience of smart home devices. Imagine that your smart speaker is no longer just capable of playing music or checking the weather, but can truly understand your needs and even predict your behavior. Isn’t that cool? Speech Recognition and Natural Language Processing The … Read more

DAC 2019 Low Power Object Detection System Design Challenge: GPU and FPGA Dual Championship Solutions Explained

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DAC 2019 Low Power Object Detection System Design Challenge: GPU and FPGA Dual Championship Solutions Explained

Machine Heart Released Author: Zhang Xiaofan On June 5, 2019, the second “Low Power Object Detection System Design Challenge” hosted by the top electronic automation design conference DAC concluded in Las Vegas (Machine Heart reported on the first competition last year). This competition aimed to design high-precision and energy-efficient object detection systems for terminal devices, … Read more

AFOD Algorithm Open Source! SpireCV Small Target Detection Upgrade

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AFOD Algorithm Open Source! SpireCV Small Target Detection Upgrade

Background AMOVLAB On September 30, 2024, the official team of Ultralytics announced the official release of YOLOv11, marking another major upgrade of the YOLO series of real-time object detectors and the rapid development of object detection. In the field of small target detection, due to poor visual features and high noise, it has long been … Read more