Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Detection system based on Raspberry Pi

A detection system, Raspberry Pi technology, applied in CCTV systems, instruments, biological neural network models, etc., can solve problems such as the lack of real-time performance, ignoring the computing power of Raspberry Pi, and poor frame rate.

Inactive Publication Date: 2020-01-17
BEIJING UNIV OF POSTS & TELECOMM
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, although the target detection device has small size, simple structure, and is applicable to the development and utilization of target detection of image data, the detection device ignores the computing power problem of the Raspberry Pi as a small computer, and simply uses the Raspberry Pi to run The frame rate presented by the target detection model will be very poor, and the real-time performance will not be achieved at all

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Detection system based on Raspberry Pi
  • Detection system based on Raspberry Pi
  • Detection system based on Raspberry Pi

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] The present invention will be described in detail below through specific examples.

[0031] see figure 1 , figure 1 A schematic structural diagram of a Raspberry Pi-based detection system provided for an embodiment of the present invention, the system includes: a camera 101, a Raspberry Pi 102 and a neural computing stick 103;

[0032] The camera 101 and the neural computing stick 103 are respectively connected to the raspberry pie 102;

[0033] The camer...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a detection system based on Raspberry Pi. The detection system comprises the Raspberry Pi, a camera and a nerve calculation rod, wherein the camera and the nerve calculation rod are respectively connected with the raspberry pi; the camera is used for capturing image data; the Raspberry Pi is used for triggering the neural computing rod to acquire image data when acquiring the image data captured by the camera; and the neural calculation rod is used for inputting the acquired image data into a preset target recognition model to obtain an image recognition result output by the target recognition model, and sending the image recognition result to the raspberry pi. By applying the scheme provided by the embodiment of the invention, on the basis of realizing marginalized computing power, the identification efficiency can be improved so as to achieve real-time performance.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a detection system based on Raspberry Pi. Background technique [0002] With the expansion of city scale, the public safety issues are getting more and more attention. The built-in computing power of the front-end cameras of the traditional urban video surveillance system is low, while the new urban video surveillance system needs a large server group as support behind it, and the large server group has the disadvantages of difficult deployment, high cost and difficult follow-up maintenance. Based on Therefore, the current new video surveillance system based on edge computing is the future development trend. To realize a new type of video surveillance system with edge computing capabilities, it is necessary to use a light neural network target detection model to integrate hardware units with computing capabilities into the original video surveillance system software and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04H04N7/18
CPCH04N7/18G06V20/52G06N3/045
Inventor 乔媛媛陈伟哲刘军杨洁
Owner BEIJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com