Knowledge

Data Acquisition

Jan 22, 2016 by Admin ATPL,TEAM

Data acquisition systems, as the name implies, are products and/or processes used to collect information to document or analyze some phenomenon. In the simplest form, a technician logging the temperature of an oven on a piece of paper is performing data acquisition.

Data Acquisition (DAQ) is a broad term that includes a suite of different tools and technologies that are designed to accumulate data. DAQ systems generally consist of DAQ software and hardware along with sensors and actuators, and they generally require underlying network support for data communication between the data acquisition hardware and software.

The hardware typically consists of components in the form of external expansion cards. They can be connected to the computer through a communication interface such as a PCI or USB, or can be directly installed onto the motherboard. The hardware is connected with an input device such as a 3-D scanner or analog-to-digital converter. The signal from the input device is sent to the hardware device/card, which processes and sends it to DAQ software, where it is recorded for further review and analysis.

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Vision Inspection

Apr 10, 2016 by Admin ATPL,TEAM

The term machine vision is often associated with industrial applications of a computer's ability to see, while the term computer vision is often used to describe any type of technology in which a computer is tasked with digitizing an image, processing the data it contains and taking some kind of action.

1.Defect detection refers to the automatic inspection of customer parts looking for potential defects. Defects can be cosmetic or affect product functionality, examples include:

Suture edge sharpness and cut angle

Glass vial cracks

Particulate matter

2.Machine vision inspection systems can be critical in monitoring process related tolerances and allowing the associated control systems to adjust for those trending towards boundary conditions. Typical vision tolerance monitoring systems examples include:

Temperature monitoring by way of IR heat signatures

Final part positioning against set datums

Punch wear cycles based on cut edge quality and shape

3.Most of the products have stringent specifications on the dimensions and shape of their constituent components. Vision systems are widely used to ensure that the components for assembling are acceptable, or else they are rejected before even entering the process, examples:

Plastic molded short shot detection

Component color check

Tube fill levels

4.In automation various checks and balances are used to ensure no parts or tooling are handled in a manner that is damaging. Many different sensor systems are utilized for this purpose, but machine vision systems are employed when difficult sensing applications arise, example:

Incoming part orientation for flip station

Package content detection and verification

Vial stopper presence

5.It is very important for pharmaceutical and medical device traceability to be maintained during the assembly and inspection of devices. Through the use of dedicated vision inspection systems, barcode and print detection and verification can be used to provide this traceability. examples:

Label Print verification via OCR and OCV

1D and 2D barcode read

Barcode quality grading

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Automated Test Systems

Dec 16, 2016 by Admin ATPL,TEAM

Automated testing is the process through which automated tools run tests that repeat predefined actions, comparing a developing program’s expected and actual outcomes. If the program expectations and outcomes align, your project is behaving as it should, and you are likely bug free. If the two don’t align, however, there is an issue that needs to be addressed. You’ll have to take a look at your code, alter it, and continue to run tests until the actual and expected outcomes align.

Automated testing is good to use when the project is large, there are many system users, or when filling out forms.

1. Runs tests quickly and effectively While the initial setup of automated test cases may take a while, once you’ve automated your tests, you’re good to go. You can reuse tests, which is good news for those of you running regressions on constantly changing code. You won’t have to continuously fill out the same information or remember to run certain tests. Everything is done for you automatically.

2. Can be cost effective While automation tools can be expensive in the short-term, they save you money in the long-term. They not only do more than a human can in a given amount of time, they also find defects quicker. This allows your team to react more quickly, saving you both precious time and money.

3. More interesting Filling out the same forms time after time can be frustrating, and not to mention boring. Test automation solves this problem. The process of setting up test cases takes coding and thought, which keeps your best technical minds involved and committed to the process.

4. Everyone can see results When one person is doing manual testing, the rest of the team can’t see the results of the tests being run. With automated tests, however, people can sign into the testing system and see the results. This allows for greater team collaboration and a better final product.

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