[SCM graduation project] [jj-019] Intelligent range hood | Kitchen fume detection | Kitchen environment detection | Kitchen fire detection

1. Basic introduction Item name: Design of intelligent range hood system based on single-chip microcomputer Design of kitchen oil smoke detection system based on microcontroller Design of kitchen environment detection system based on microcontroller Design of kitchen fire detection system based on microcontroller Project name: range hood Microcontroller type: STC89C52 Specific functions: 1. Use the […]

How strong is GPT-4V in anomaly detection? The latest evaluation of Hua University of Science and Technology is here!

Click the Card below and follow the “CVer” public account AI/CV heavy-duty information, delivered as soon as possible Click to enter->[Anomaly Detection and Defect Detection] Communication Group Reply in the background of the CVer WeChat public account: GPT anomaly detection, you can download the evaluation report pdf, start learning quickly! Scan the QR code to […]

2023 Design and development of intelligent electronic product simulation industrial conveyor belt item detection system

2023 National Vocational College Skills Competition Higher Vocational Group “GZ029 Intelligent Electronic Product Design and Development” Competition Paper 1 Title: Design and development of simulated industrial conveyor belt item detection system 1 Competition Task Play the video of the industrial conveyor belt transporting items on the smart TV, and simulate the industrial conveyor belt item […]

C# Onnx LSTR Transformer-based end-to-end real-time lane line detection

Table of Contents Effect Model information project code download Effect End-to-end real-time lane line detection Model information lstr_360x640.onnx Inputs ———————– name: input_rgb tensor: Float[1, 3, 360, 640] name: input_mask tensor: Float[1, 1, 360, 640] ————————————————– ————- Outputs ———————– name:pred_logits tensor:Float[1, 7, 2] name:pred_curves tensor:Float[1, 7, 8] name:foo_out_1 tensor:Float[1, 7, 2] name:foo_out_2 tensor:Float[1, 7, 8] name:weights […]

C# OpenCvSharp DNN HybridNets simultaneously handles vehicle detection, drivable area segmentation, and lane line segmentation

Table of Contents Effect Model information project code download Effect Simultaneously handles vehicle detection, drivable area segmentation, and lane line segmentation Model information Inputs ———————– name: input tensor: Float[1, 3, 256, 384] ————————————————– ————- Outputs ———————– name:regression tensor: Float[1, 18414, 4] name:classification tensor: Float[1, 18414, 1] name:segmentation tensor: Float[1, 3, 256, 384] ————————————————– ————- project […]

Using eBPF to detect mmap leaks

Table of Contents background Official website malloc leak detection mmap leak detection Call munmap to release memory summary Background We know that the memory space requested by the mmap system call belongs to the file mapping area and the anonymous mapping area. This part of the area does not belong to the heap, so it […]

Linux C/C++ intrusion detection system (IDS bypass techniques)

An intrusion detection system (IDS) is a network security device whose main function is to conduct real-time monitoring of network transmissions. An intrusion detection system (IDS) is a network security device whose main function is to conduct real-time monitoring of network transmissions. and send alerts or take proactive response measures when suspicious transmissions are detected. […]

Target detection algorithm improvement series: Backbone replaced by VanillaNet

Introduction to VanillaNet Introduction: VanillaNet is a neural network architecture that incorporates elegance into its design. By avoiding complex operations such as high depth, shortcut, and self-attention, VanillaNet is simple and powerful. Each layer is crafted to be compact and straightforward, with non-linear activation functions pruned after training to restore the original framework. VanillaNet overcomes […]

Data preprocessing for target detection in computer vision

This article covers the preprocessing steps performed on image data when solving object detection problems in computer vision. First, let’s start with choosing the right data for object detection in computer vision. When choosing the best images for object detection in computer vision, you need to choose those that provide the most value in training […]