JADAK-customized machine vision technology, with optional FPGA, can improve speed and accuracy in clinical chemistry, immunoassays, molecular diagnostics and at point-of-care diagnostics.
Allegro IVD Smart Cameras + Clarity™ 3.0 Enhanced Machine Vision Image Analysis Software
The JADAK Allegro In Vitro Diagnostic 6 MP and 2.3 MP Smart Cameras are the intelligent solution for the IVD original equipment manufacturer (OEM). Specifically designed to perform standard pre-analytical and analytical IVD tasks on a rack of vials or single vial, Allegro Smart Cameras, along with Clarity 3.0 Machine Vision software, can accurately and precisely detect and screen diagnostic samples in a timely manner, thus eliminating waste by not conducting tests on non-viable samples and reducing errors typically caused by manual processes.
Improve accuracy and reduce costs with machine vision:
Smart cameras with onboard FPGA for faster throughput and better accuracy
Field Programmable Gate Arrays (FPGAs), enable on-camera hardware acceleration, that can increase frame rate and reduce processing load on the host system. A pioneer in FPGA-based image processing and compression, JADAK developed the first FPGA-based Differential Scanning Calorimetry (DSC)-quality color processing and JPEG compression pipeline, which is currently licensed to Intel, Freescale and AMD/ATI. Today, we continue to lead in machine vision technology, providing fully customized FPGA solutions to meet interface requirements, logic and memory capacity, power constraints and package size requirements for the world’s top medical OEMs—all within price and delivery targets.
Addressing your specific Machine Vision challenges with:
Proprietary Enabling Technologies
JADAK’s proprietary Clarity software was used to:
This JADAK custom solution resulted in an overall cost reduction by eliminating tests on inadequate samples and increased throughput of diagnosable tests.
Customizable intelligence. On-board processors, FPGAs and simplified integration.
Software designed for pre-analytical IVD. Customized for your inspection and tracking needs.
We have the largest installed base of machine vision solutions in clinical analyzers, with billions of successful reads.
This webinar will focus on validating and measuring blood samples that have gone through a centrifuged process to achieve accurate test results.
Deep Learning (DL), a subset of ML, offers powerful features to enhance accuracy for image classification during the critical pre-sort phase in IVD systems, solutions which can combine with classic CV approaches to overcome and future-proof against many of the traditional CV challenges that have held back sample testing throughput.
This article illustrates decode windowing with JADAK’s ImageView (version 2.62) software tool, and abstracted firmware commands.