Our barcode scanners can be found in more healthcare infusion systems, vital signs monitors, portable glucose meters, and portable glucose analyzers than any other scanner.
The machine vision experts at JADAK are leaders of installed machine vision solutions with decades of experience providing cutting-edge and custom solutions for original equipment manufacturers’s (OEM) critical applications—including in-vitro diagnosis, disposable endoscopy, process control, surgical visualization, robot guidance and more.
Powered by JADAK’s world-class ThingMagic® RFID technology, our RFID solutions utilize the broadest low frequency (LF), high frequency (HF), and ultra-high frequency (UHF/RAIN®) portfolio in the industry.
JADAK provides best-in-class thermal printers and chart recorders for stand-alone and embedded printing applications. Our printing solutions are respected around the globe for their reliability and versatility and are found wherever clean, sharp, accurate data output is essential.
Photo Research, a JADAK brand, is the world leader in high precision, state of the art optical instrumentation and systems. For over 75 years, Photo Research has delivered world-class light and color measurement solutions.
JADAK, a leader in barcode scanning technology for original equipment manufacturers (OEMs), offers presentation barcode scanners for countertop scanning or kiosk integration used in applications such as coupon scanning, price checking, ticket scanning, loyalty and hospitality, and for reading mobile device displays (e-tickets, e-coupons).
JADAK offers several magnetic stripe reader components optimized for original equipment manufacturers (OEM) designs and products for applications in time clocks, security access, or retail point-of-sale systems, and applications where low-power consumption and high-capacity card reading is required.
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This paper addresses optimization concerns for embedded machine vision devices for medical applications, and JADAK’s suggested approach to achieve greater speed by an order of magnitude, in some cases.
Improve accuracy and efficiency in in-vitro diagnostic testing. Test tube cap classification.
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.