IMPLEMENTASI 2D BARCODE PADA LABEL PANGAN OLAHAN SEBAGAI KEKUATAN PENGAWASAN BADAN PENGAWAS OBAT DAN MAKANAN (BPOM)

Pada saat ini, peredaran produk pangan olahan diwajibkan memenuhi persyaratan keamanan, mutu, dan gizi pangan tersebut. Salah satu dari ketiga elemen tersebut diterapkan ke dalam pangan olahan dalam bentuk label pangan. Keterangan informasi pada label pangan bertujuan untuk menerangkan bahwa informasi yang tertera benar, tidak mudah rusak dan lepas, mudah dilihat dan dibaca melalui Nomor Izin Edar (NIE). BPOM bersinergi kuat dalam pengawasan produk pangan dengan menerbitkan penerapan 2D barcode dalam label pangan sebagai kebijakan untuk mengurangi risiko peredaran produk pangan palsu atau ilegal. Metode penulisan karya ini secara studi pustaka melalui pengambilan data berdasarkan peraturan perundang-undangan yang berlaku serta pelaporan pengawasan terhadap label pangan. Intensifikasi pengawasan produk pangan yang dilakukan oleh BPOM pada sarana ritel dan distribusi banyak menemukan produk Tanpa Izin Edar (TIE), produk kedaluwarsa serta produk rusak. Hasil data yang didapatkan terhadap temuan pengawasan produk pangan lebih banyak ditemukan produk TIE dengan persentase temuan di Sarana Ritel sebesar 52%, sedangkan persentase temuan di Gudang Importir/Distributor sebesar 72%. Dengan penerbitan implementasi 2D Barcode pada label pangan olahan sangat memberikan dampak positif bagi stakeholder meliputi. pemerintah, pelaku usaha dan masyarakat. Penerapan 2D Barcode ini diupayakan mampu membangun intelektual masyarakat untuk menjadi lebih responsif serta cerdas dalam mengolah informasi di masa yang akan mendatang.

A Survival Guide for the Rapid Transition to a Fully Digital Workflow: The “Caltagirone Example”

Digital pathology for the routine assessment of cases for primary diagnosis has been implemented by few laboratories worldwide. The Gravina Hospital in Caltagirone (Sicily, Italy), which collects cases from 7 different hospitals distributed in the Catania area, converted the entire workflow to digital starting from 2019. Before the transition, the Caltagirone pathology laboratory was characterized by a non-tracked workflow, based on paper requests, hand-written blocks and slides, as well as manual assembling and delivering of the cases and glass slides to the pathologists. Moreover, the arrangement of the spaces and offices in the department was illogical and under-productive for the linearity of the workflow. For these reasons, an adequate 2D barcode system for tracking purposes, the redistribution of the spaces inside the laboratory and the implementation of the whole-slide imaging (WSI) technology based on a laboratory information system (LIS)-centric approach were adopted as a needed prerequisite to switch to a digital workflow. The adoption of a dedicated connection for transfer of clinical and administrative data between different software and interfaces using an internationally recognised standard (Health Level 7, HL7) in the pathology department further facilitated the transition, helping in the integration of the LIS with WSI scanners. As per previous reports, the components and devices chosen for the pathologists’ workstations did not significantly impact on the WSI-based reporting phase in primary histological diagnosis. An analysis of all the steps of this transition has been made retrospectively to provide a useful “handy” guide to lead the digital transition of “analog”, non-tracked pathology laboratories following the experience of the Caltagirone pathology department. Following the step-by-step instructions, the implementation of a paperless routine with more standardized and safe processes, the possibility to manage the priority of the cases and to implement artificial intelligence (AI) tools are no more an utopia for every “analog” pathology department.

Utilization of 2D Barcode Technology to Create Surgical Pathology Reports

Introduction/Objective After professional transcription service is eliminated, pathologists inevitably undertake the task of diagnostic data entry into pathology repot by adapting a variety of methods such as speech recognition, manual typing, and pre-texted command. Errors and inefficiency in reporting remain common problems, especially for information with unusual syntax such as genotype or nucleotide sequences. To overcome these shortcomings, we introduce here a novel application of a well-established technology as a complementary method, namely 2- dimensional (2D) barcode symbology. Methods/Case Report Commonly used diagnostic wordings of pathology reports including specimen type, surgical procedure, diagnosis, and test results are collated and organized by organ (specimen type) and by their frequency of usage/occurrence. Next, 2D data matrix barcodes are created for these diagnostic wordings using a on-line tool (www.free-barcode-generator.net/datamatrix/). The 2D barcodes along with their text are displayed on the computer screen (or printed out as a booklet). A 2D barcode scanner (Symbol LS2208, Motorola) was used to retrieve the text information from the barcodes and transfer into the pathology report. To assess the efficacy of this barcode method, we evaluated the time of data entry into reports for 117 routine cases using an on-line stopwatch and compared with those by other data entry methods. Results (if a Case Study enter NA) Unlike manual typing or speech recognition, the barcode method did not introduce typographic or phonosemantic errors since the method simply transferred pre-texted and proof-read text content to report. It was also faster than manual typing or speech recognition, and its speed was comparable to that of the pre-text method integrated in LIS but did not require human memorization of innumerable text commands to retrieve desired diagnosis wordings. Conclusion Our preliminary results demonstrated that the diagnostic data entry time was reduced from 28.5% by other methods to 22.1% by the barcode method although due to the small sample size, statistical analysis was not conclusive.

The 2D Barcodes Identify the Workpieces by using Microcontroller Interface between Image Processing and PLC Machine

This paper focuses on 3 main subjects; the first is the presentation and implementation of a PLC concept as a core component to control the system in the industry. The next subject of this work involves some tests to detect 2D barcodes with a web camera on 5 similar workpieces. It is difficult to classify and detect 2D barcodes since they are small about a size of 0.5×0.5 cm2 patterned squares. The last part of the paper presents the implementation of a technique by using a microcontroller to link between a vision system and PLC. This method can be used in an old type of PLC without an additional equipment in the PLC, which can be connected to various types of cameras. The results of the system test show that the vision system can operate in the automatic classifying machine of the PLC controller. The machine vision can classify similar workpieces by using small 2D barcodes with image processing methods. The workpieces are stored in the correct position of 5 boxes in the storage compartment. This method of using a microcontroller interface with image processing and the PLC was successful. HIGHLIGHTS Web camera sensor read 2D barcodes Decoding 2D barcode and transform to digital signal Incorporating image processing into PLC system by using microcontroller and relay Transform signal into PLC processing to classifying the workpieces GRAPHICAL ABSTRACT

Step 2: RNA extraction and RT-qPCR v1

STRIP is a start-to-end streamlined and automated procedure for COVID-19 testing, centering on a single Tecan Fluent liquid-handling robot that can process over 14,000 samples per day. Key features of the customized Tecan Fluent robot are (1) on-board 1D and 2D barcode scanners, (2) an automated tube decapper, (3) two robotic arms for simultaneous processing of different procedural steps, (4) a newly-designed spin vessel to keep magnetic beads in solution and immediately transferable to 384-well plates, (5) a built-in magnetic deck and a 384-channel pipetting head for rapid RNA isolation, (6) a heating device for fast drying of RNA prior to elution, (7) a built-in plate sealer and (8) a plate storage system to allow processing of multiple sample plates in a single run (See Materials). Here we describe the RNA extraction and RT-qPCR protocol as currently applied in STRIP.

Blur-readable two-dimensional barcode based on blur-invariant shape and geometric features

In recent years, the application of two-dimensional (2D) barcode is more and more extensive and has been used as landmarks for robots to detect and peruse the information. However, it is hard to obtain a sharp 2D barcode image because of the moving robot, and the common solution is to deblur the blurry image before decoding the barcode. Image deblurring is an ill-posed problem, where ringing artifacts are commonly presented in the deblurred image, which causes the increase of decoding time and the limited improvement of decoding accuracy. In this article, a novel approach is proposed using blur-invariant shape and geometric features to make a blur-readable (BR) 2D barcode, which can be directly decoded even when seriously blurred. The finder patterns of BR code consist of two concentric rings and five disjoint disks, whose centroids form two triangles. The outer edges of the concentric rings can be regarded as blur-invariant shapes, which enable BR code to be quickly located even in a blurred image. The inner angles of the triangle are of blur-invariant geometric features, which can be used to store the format information of BR code. When suffering from severe defocus blur, the BR code can not only reduce the decoding time by skipping the deblurring process but also improve the decoding accuracy. With the defocus blur described by circular disk point-spread function, simulation results verify the performance of blur-invariant shape and the performance of BR code under blurred image situation.

Fluorescent dot peen marking for insuring oil steel pipes traceability

“VKO “Simvol” designs and produces marking equipment, reading equipment and traceability software. Fluorescent dot-peen marking (FDMP) is an improved version of dot peen marking (DPM) technology. In FDPM technology information dots are filled with special material – fluorescent composition. Various fluorescent compositions provide high stability of marking in different aggressive media, such as moisture, salt and acid solutions, oils, lubricants or high temperatures. 2D barcode Data Matrix makes the marking machine readable, even if some of the dots are damaged.

Smart Supervision on Food Safety of Food Service Establishments in China: Challenges and Solution

Foodborne diseases (FBDs) are burdening countries worldwide. Several countries have successfully implemented policies that establish innovative systems for the inspection and grading of food service establishments (FSEs), which greatly contributes to a reduction in FBDs. China’s government has also responded by developing policies to protect consumers’ food safety, including the routine inspection policy and the risk-based grading policy. However, the extent of implementation of both policies has been poor to date. The aim of this paper was to identify regulatory challenges and design a smart supervision solution. The results of a national survey showed that the major barriers to policy implementation were a strong individual work intensity, strong business dynamics of FSEs, a lack of a monitoring and evaluation system, a lack of social support, a low development level of FSEs, and a lack of financing. A smart supervision solution to these challenges was designed based on mobile Internet and two-dimensional (2D) barcode technology. A pilot application in Jilin province assisted local supervisors in carrying out regulatory work on FSEs, which proved the feasibility of the smart supervision. This study can be used as an example for food safety supervision in other regions, and can assist other governments that wish to implement similar policies to ensure food safety in their countries.