The Benefits of Using Visual Inspection Systems – Advertising, Offers

Quality assurance is one of the most essential components of the production system. It is the component that arrives at the very end of production in which the last product is checked for defects and errors before selling it to customers. This is essential because not only does it reduce production errors, but it also prevents humans from objects that can be possibly risky.

How do visual inspection systems work?

Visual inspection systems use digital sensors included in the cameras. These cameras use optical sensors to take photos which could then be processed using computer systems so that you can assess specific characteristics for decision making. They use synthetic intelligence apps to make accurate and faster comparisons between appropriate stereotypes and actual products.

Components of visual inspection systems:

Lights: Lighting helps to bring out a feature so that it can be truly captured using cameras.

Vision process: They paint on certain algorithms that examine the images and extract all possible records on the flaws and errors found in the photograph.

Lenses: Lenses offer photographs to sensors, which can be real imaginative and premonitory cameras of the system and are intended to transform soft images into images inside the virtual form.

Blessings of visual inspection systems

Once the visual inspection structures have been programmed and adapted to the way of production, they can perform a large amount of manufacturing control in an absolutely short time compared to human inspection.

In human inspection structures, there can always be a huge threat of errors and whatever the experience and focus of the employees, these errors can never be added until a negligible step. Human skills have limits that visual inspection structures do not have. And this is how they push the possibilities of inspection errors to extraordinary volume and offer better merchandise fines.

Shenzhen Sipotek Technology Co., Ltd. has engaged in the research, development and manufacturing of imaging and machine vision technologies, with more than 70 senior executives in R&D of machine vision systems and engineers in industrial automation. The key technical staff of the company comes mainly from Huawei, Byd, Foxconn and other first-class manufacturing companies, with many years of mature experience in software design, visual comparison technology and image, industrial automation and other aspects.

Automated Vision Inspection Systems – Advertising, Offers

Nowadays, competition is fierce between manufacturers in the manufacturing industry. Therefore, if you are a manufacturer and looking for ways to increase your production, you may want to try a new technology for your inspection systems. This technology provides vision inspection systems. In this article, we are going to talk about the basics of an automated vision inspection system. Read on.

Evolving technology

Over time, the industrial vision has seen many improvements. A few decades ago, this technology required a lot of money for its implementation. In addition, few professionals knew how to exploit it. However, it is quite easy to use this technology. Also, it doesn't cost as much as it did a few years ago.

Quality assurance

When it comes to quality assurance, vision inspection systems are very useful. The reason is that the system is used to inspect different parts in order to detect possible faults. These faults can be minor or major. For example, it can be a cosmetic flaw that can interfere with the functionality and performance of the part.

Common error

It is important to keep in mind that the cameras do not work like your eyes. Therefore, if you can see an adhesive head, it does not mean that the camera eye can also see it. In addition to this, lighting can also have a big impact on the reliability of the system. Therefore, it is also important to control exposure.

Features of an effective visual inspection system

If you want this system to work properly for you, we suggest you install the right camera and proper lighting for better accuracy. In fact, when there is insufficient light, the camera can not take pictures without noise. As a result, the quality of the inspection suffers considerably. Likewise, the camera should also be of high quality for better inspection.

Sipotek was born in 2002 to meet the requirements of the industrial market in the field of visual inspection and control. We have been specializing in the research and production of high quality CCD vision inspection machines for over 16 years.

ids – Scenario Categorization with Deep Packet Inspection – Intrusion Detection

I am researching intrusion detection systems (IDS) and deep packet inspections (DPI). Assuming a system in which the values ​​are transmitted to a validation system and the validation system validates (checks anomalies, for example by statistics, machine learning, etc.) the transmitted data.

  • Is the validation process called DPI, even when only the payload is studied?
  • Is the validation process called network-based intrusion detection or is it called something different?

URL Inspection Tool – Error in Search Console "There is a problem, if the problem persists, try again in a few hours"

We have a problem with the URL search tool of the search console.

When we try to request indexing, an error is displayed for some of the URLs stating "Something went wrong. If the problem persists, try again in a few hours.Despite the fact that no blocking rules are set on the robots.txt file

Inspection systems by industrial vision and its suppliers – Advertising, Offers

Machine Vision inspection systems are nowadays widely used for inspection and security purposes. Machine vision inspection systems or machine vision systems use machine imaging to capture and inspect an image and detect abnormalities therein. This automated technology is used for industrial and manufacturing purposes. Automated 2D and 3D inspections are very common nowadays. Artificial vision systems undertake complex industrial tasks with ease and reliability. The algorithms and means used by machine vision technology are the same as those used by the government in military computer vision operations. Computer vision is part of artificial intelligence based on the acquisition and processing of images.

Benefits of using an artificial vision system:

Artificial vision systems improve quality and productivity while reducing manufacturing or production costs. Artificial vision eliminates or reduces human participation in the manufacturing and production process. When we talk about quantitative analysis, computer vision is much better than human vision. If you want to improve the quality of your company's products, the artificial vision system is the solution you are looking for.

Importance of the inspection system by artificial vision:

Artificial vision inspection systems find their application in industries such as the pharmaceutical industry, security, packaging, manufacturing, consumer goods, food and beverage, robotics and other industries. well others. It is difficult to monitor such empires with consistency and reliability. This task of inspecting a large number of products would require considerable manpower, and humans could also make mistakes where machines do not.

Specialties of the machine vision system:

Vision systems can capture sophisticated images because they have software and image processing equipment. They can measure the size of objects captured in the image. They can analyze the shape of the object in an image. They can sort the objects in an image according to their size. Artificial vision systems perform the complex task of decision-making and classification. They are mainly used in industries for quality control purposes. The machine vision control system must be robust, consistent and reliable. Artificial vision is also used to guide robots in industries to accomplish a high-precision task. Artificial vision is also used to evaluate the surface of the product and for the detection of defects.

Components of a machine vision system:

Artificial vision systems consist of different components and can be customized according to the needs of the owner. The artificial vision system consists of one or more cameras. Apart from this, vision systems also encompass different types of sensors and actuators.

Manufacturer of machine vision inspection:

It depends on you to know what is the utility of machine vision in your industry for you to look for a machine vision inspection manufacturer. Artificial vision can be used for many tasks such as 3D vision inspection, bar code reader, product assembly, security, etc. You must now know the sensor and actuators used by the manufacturers to build the inspection system. Do they use inexpensive or degraded components? What is the reliability of the product? Is it customizable? What is the product's recovery period and how robust is it? In India, many manufacturers manufacture high quality vision inspection systems.

Sipotek Technology is located in Shenzhen, China. The company designs and manufactures visual inspection systems with its state-of-the-art R & D department and extensive experience in artificial vision technologies. Sipotek is a professional manufacturer of artificial vision inspection system from China. Sipotek Technology's staff supports customers in 360-degree optical inspection, from listening to their demands to developing ambitious quality control machines.

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The Google URL inspection indicates that the URL of my image is blocked by the robots.txt file. I do not even have one!

I just discovered that our image system domain was not explored by Google for a long time.
The reason is that all the URLs seem to be blocked by robots.txt – but I do not even have one.

Disclaimer: Due to some configuration testing, I now have a robots file authorizing everything at the root of the website. I did not have one before that time.

We execute an image resizing system in one of the subdomains of our website.
I'm getting very strange behavior because Search Console claims to be blocked by robots.txt, whereas in fact I do not even have one in the first place.

All the URLs in this subdomain give me this result when I test them live:

Unknown URL to Google

URL supposedly blocked by robots

While trying to debug the problem, I created a robots.txt file at the root:

valid robots

The robots file is already visible in the search results:

indexed robots

The response headers also seem to be correct:

​HTTP/2 200 
date: Sun, 27 Oct 2019 02:22:49 GMT
content-type: image/jpeg
set-cookie: __cfduid=d348a8xxxx; expires=Mon, 26-Oct-20 02:22:49 GMT; path=/; domain=.legiaodosherois.com.br; HttpOnly; Secure
access-control-allow-origin: *
cache-control: public, max-age=31536000
via: 1.1 vegur
cf-cache-status: HIT
age: 1233
expires: Mon, 26 Oct 2020 02:22:49 GMT
alt-svc: h3-23=":443"; ma=86400
expect-ct: max-age=604800, report-uri="https://report-uri.cloudflare.com/cdn-cgi/beacon/expect-ct"
server: cloudflare
cf-ray: 52c134xxx-IAD

Here are some examples of URLs for testing:

https://kanto.legiaodosherois.com.br/w760-h398-gnw-cfill-q80/wp-content/uploads/2019/10/legiao_zg1YXWVbJwFkxT_ZQR534L90lnm8d2IsjPUGruhqAe.png.jpeg
https://kanto.legiaodosherois.com.br/w760-h398-gnw-cfill-q80/wp-content/uploads/2019/10/legiao_FPutcVi19O8wWo70IZEAkrY3HJfK562panvxblm4SL.png.jpeg
https://kanto.legiaodosherois.com.br/w760-h398-gnw-cfill-q80/wp-content/uploads/2019/09/legiao_gTnwjab0Cz4tp5X8NOmLiWSGEMH29Bq7ZdhVPlUcFu.png.jpeg

What should I do?

In Intellij: Is there a way to prevent code inspection to indicate duplicate code in out of scope files?

When I run the code inspection in Intellij, I get indicators for shared code between the files in the scope and the files out of scope. I want every inspection to ignore 100% of everything out of reach.

python – OSS test framework for inspection / qualification of equipment

Given the large number of OSS test solutions, I (always) find that I am looking for a framework for free software testing software to determine if it meets quality standards (for example, qualification tests). The mantra common to many test frame pages seems to be "going with an existing solution rather than rolling yourself," but I'm not sure if a viable solution exists in my case (prove me if you like).

In short, these large custom printed circuit boards incorporate 1G Ethernet jacks and high quality audio jacks for a proprietary solution. In order to test these devices, we must:

  • For network / Ethernet links:
    • Ask the "sending side" to generate PRBS / BERT models and the "receiving side" to confirm that it can converge / lock the signal / pattern.
      • Also ask the "receiving side" to perform electrical eye diagrams calculations
  • For audio links:
    • Ask the "sending side" to generate specific analog audio patterns, which the receiving side should "read" and "record" (ie recognize as "standard test pattern").
  • Also do simple on / off tests for various GPIO, SPI and other links.
  • I must also run arbitrary data processing libraries and compare the performance metrics they spit in a disk file.

We have a whole series of test scripts that can test all these elements using drivers that we write internally (that is, to ensure that the manufacturer has built these PCBs correctly), but they have been written by several different authors. do not adopt current or standardized output formats, nor behaviors, and do not make it easy to provide a bird's – eye summary to determine if a PCB is "good" or not.

I need to find a tool / framework that can interface with the low-level drivers used for these tests (written in C, C ++, Python, and Go), and provide a way to introduce users to a common scripting language (simple). so that they can write simplified tests that call these drivers (Python is preferred), collect and catalog data, generate test reports, perform multiple iterations of these tests (that is, for stress tests)etc.

Does such a tool (OSS) exist?

I looked at the robot framework (mainly because of its maturity and Python writing), but the project summary and the examples do not give me enough information to know if I could or not benefit. Looks like I should write REST / HTTP interfaces for all my H / W tests if I want to use one of these frameworks for automated testing, cataloging results, reporting, and so on. I would also like to test other arbitrary / abstract parts of the system, such as software performance metrics (which have not yet been defined or provided).

How to better choose a tool capable of performing arbitrary software / hardware quality control tests?


  • Simple scripting language that can be used to define individual tests that use more complex drivers / scripts / applications / (etc.). do the "lifting of heavy loads". Python is preferred if possible.
  • OSS (ie MIT / BSD, no broadcast or commercial license).
  • Linux support (Windows is a good option).
  • How to generate a set of reports (that is, to compare different batches of PCBs).

Thank you.

forms – Userflow for questions based on inspection application responses

I'm working on a mobile app to help the technician perform inspections. They have a lot of questions for each task, each question concerns the inspection of an article. When the answer is positive, no further action is required (80% of cases).

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But when the answer is no, he must identify the anomaly so that I show a new page with the choice of the anomaly. I choose to represent it in the form of cards because it must have an "On" and "Off" status.

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When the technician chooses an anomaly, it displays a new screen because we need additional information. My problem appears here. I can not create a classic stepper because the number and type of question will depend on the answers:

  1. It must first answer if it "fixes", "momentarily fixes" or "can not fix for the moment" the anomaly.
  2. If the technician answers "fixed" or "momentarily fixed", we ask him to leave a comment to explain how he handled this.
  3. If the technician answers "can not fix at the moment", we have two additional questions: we must identify the reason for this failure (choice in a list of 6 articles) and the estimated repair time (choice in a list of 2 Articles)

I do not know how to represent this user flow, it's my headache, but in the end, the user must return to the anomaly screen, because there can add another anomaly with the same flow.

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Thank you for your help !

windows – Can we disable stateful ftp inspection for a single program?

At the present time, I have a program that generates FTP requests to a remote server. The connection is passive fashion. The problem is that the connection is encrypted with TLS and the client-side Windows firewall terminates the connection because it is unable to perform a stateful inspection of ftp connections.

The solution to this is to disable stateful inspection with the following command:

netsh advfirewall defined global statefulftp

Can I add an exception or outbound rule in the Windows Firewall to disable stateful inspection only for this particular program? Is it possible to do it? My goal is to have default settings for other programs and softer settings for my program.