Machine Vision Services

Machine vision uses image processing to inspect for visible characteristics, analyze results and record findings, leading to increased automation, consistency and efficiency.  Cameras, illumination, and optics are used to obtain the image, which communicates with a computer through machine vision software, to process data and make decisions based on the information.  Expertise in machine vision, application logic and validation testing is required to ensure accurate and reliable results.

JADAK is a leader in medical machine vision for OEMs. We have the expertise and resources to problem solve and engineer a solution that will add value by optimizing performance. You can count on us to provide ongoing lifetime support throughout the life of your product.

JADAK was the first to implement embedded machine vision solutions into medical devices, such as Clinical Analyzers, Surgical Machines, and Assay Readers.  We have the largest install base of machine vision solutions in Clinical Analyzers, with billions of successful reads.  And our machine vision solutions are reliable, with over 10 million in-the-field scans with an error rate of less than .001%.

We understand that you have other things to worry about.  So with a full team of system, project and vision engineers, JADAK will analyze your requirements, develop system parameters, create vision logic, and perform integration and validation testing: Worry free.  Hassle free.  Reliable.

Call us to schedule an engineering consultation and find out why JADAK machine vision is used by more medical device companies and OEMs than any other vision provider.

News & Resources

WEBINAR: JADAK’s Smart RFID Technologies: what’s in it for you?

Join us for an educational webinar where we’ll introduce you

April 17, 2017

Use of RFID in Blood Banks

Historically, barcodes have been the prevalent technology for tracking blood

April 17, 2017

The Advantages of the HS-1M in Emergency Care Medicine

Documentation and records are an important part of any EMT’s

April 17, 2017