We had categorized our work into 3 categories to achieve the goal of our project and to make a complete barcode scanner Glassware to facilitate work ows in the biomedical laboratory. At rst we were successfully able to scan a sample barcode image through the Glass. Then we had integrated the Glass with Biobank and
Cryorepository webservice. At last we were able to display the desired information from the webservice to the Glass display screen. The result of 3 catogories explains in detail below:
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6.1 Barcode Image Analysis
In the real test, monochrome barcode image HIV-1722 of Code 128 format was used.
Glass was able to detect the barcode of image size 3.5cm x 7cm, 96 dpi (dots per inch) and bigger than this. The distance between the barcode
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The other sample barcodes were also tested. Since, we have used Zbar library for reading barcode, it had successfully detected EAN-13, UPC-A, UPC-E, EAN-8, Code 128, Code 39 and QR Code format barcode. Glass was able to detect the barcode of image size 2.7cm x 3cm with bar height 5, bar distance 0.20, text size 1.2 mm and a resolution of 300. The image size of 2.5cm x 3cm was also tested, but Glass was not able to detect this barcode because of the autofocus problem. A sample barcode detected by the Glass is shown in the gure 13 below:
6.2 Integration with Biobank and Cryorepository
The Biobank and Cryorepository webservice (eurocryoDB) had Apache Axis2 server with the authentication security. But we had disabled the security authentication in the server for our test and our program with ksoap2 library was successfully able to retrieve the xml element from the webservice. The gure below shows the associated xml element of a sample barcode from the
After that they were able to scan few things properly, but when they tried to scan a stuff toy they were not able to scan it because it did not have a price tag for it. For that also they needed to call an assistant, she was very helpful she entered her ID and the product code after which the elderly couple was able to process further.(Visibility issue)
The scanner is used to scan paper documents and put them onto the computer so
For activity 2, the frame is run through a thresholding function that creates a binary image based on the histogram levels that are similar to that of a stop sign. Any pixel that falls within the levels are then converted to a value of one and the rest are set to zero. The binary image is then put through two morphological operators, open and close. The open morphological operator gets rid of smaller clutters of pixels as defined by the parameters that are passed in to the function. The close morphological operator fills in clusters of pixels that are the shape of the parameter passed to the function. In this case, the shape is an octagon just like a stop sign. The last step is to run the binary image through blob analysis to get the ROIs that are of a specified minimum size. Once the ROIs have been found, they are passed into the cascade object detector for verification of
In accession to the binary images, the proposed method may be tested on discrete color images also. These type of
Scanners, is all part of the ICT function. ICT staff in Tesco may also be involved
are the pixels used in the feature detection. The pixel at C is the centre of a detected
To enter the Grand Hall you would have to swipe your Wondercon pass on a set of scanners, the scanners
The Intelligent Mailing barcode offers you near real-time tracing of first class mail as well as periodicals and standard mail. The barcode can be put on outbound mail or on reply cards that you send out to a client. When that barcode goes through a Postal Service processing center, their system will update the status of each piece of mail with the date, time and location of where it is in the process. You can look at this
slide and scans it into a computer by using an automated scanning robot to create a digital
the first digital scanner was introduced (Nayar and Mahadevan, 2015). Over the past couple of
This was resolved by a test-scanner released by IBM, surprisingly in the 1930s. This technology, forebodingly, was also used in Germany at the same time during WWII. According to the Huffington Post “IBM maintained a customer site, known as the Hollerith Department,
The advantage of RFID is that it does not require direct contact or line-of-sight scanning. An RFID system consists of three components: an antenna, RFID reader and a RFID tag (Known as transponder). The antenna emits radio frequency waves to transmit a signal that activates tag and in return a response signal is received.()Problem statement:Packaging industries using RFID technology may face the problem of missing the item count of products during processing due to different product characteristics such as chemical composition, density etc. This research paper examines the use of RFID in packaging industry where the items are of different particulate solids of different packing densities. This is important in supply chain because transportation can change the product 's physical characteristics. In this paper particle shape, size and packing density are investigated to determine its effects on RFID tag readability. Particle size is considered as an important characteristic since it effects the properties such as surface per unit volume and rate of settling of particles. The shape of the particle may have an effect on packing characteristics.Equipment and Methodology:Equipment:Equipment used in this research are the rectangular standardized cell of size 6in x 10in x 1.25 is fabricated using 0.25in thick Lexan material
Object recognition from scanning: This application is utilized in this work for PCG wave image and the classification is done. With this method, apps that recognize and track intricate rigid scans can be achieved. This includes wrapped target images (cylinder Targets)
The paper was demonstrated by Reel et al. [22] of the heuristic analysis of characters and a number of serial numbers of Indian currency notes to recognition of currency notes. To distinguish a character from a given currency image, there is require to extract feature descriptors of such image. As an extraction technique significantly affects the quality of entire OCR process, it is very significant to extract features, which will be invariant towards the different light conditions, employ font type and deformations of characters caused by a distort of the image. Heuristic analysis of characters is complete for this reason to get the precise features of characters previous feature extraction in currency recognition.
Information gathered at one camera location can be linked to another which makes it a wide-area detection system