FDA Requirements for Drug Identification, Tracking, Tracing
Machine vision for Pharma CFR - Code of Federal Regulations Title 21 Sec. 206.10 Code imprint required.
For 30 years Machine vision high-speed cameras have analyzed micro starch particle patterns, shape, and color to identify individual pills. From capturing an image on camera, to analyzing billions of pill GPS locations with Big Data trends, to making decisions based on predefined criteria and information sent to multiple mobile devices, complex interactions such as these are done in real time. In a cycle as short as 50 microseconds to a few milliseconds, a pill is instantaneously and seamlessly identified, located, and tracked. Today, there are over 900 types of drug tablets in the US National Drug Registry which can be machine vision identified.
Laser-based machine vision technology truly automates pharmaceutical manufacturing, making the process systematic, highly efficient and cost-effective. Lasers significantly increase production uptime, streamline the process and reduce costs, all while delivering new and improved capabilities ranging from product pill identification to GPS functionality. Adding identifying marks and bar codes to pills and packaging is important, but without automated inspection and quality assurance, this process would be inefficient. In over 2,500 companies, machine vision systems have been added to printing devices, ensuring that pills are registered, complete and unbroken, while also verifying package print quality. Pharmaceutical-adapted machine vision cameras are mounted on printing devices to inspect pills in real time. Cameras are mounted on production lines for several purposes. First and foremost, the camera captures the pill’s identity pattern. Second, if the pill is incomplete or broken, machine vision will send a signal to initiate a burst of air that pushs any single pill into the rejection bin. The image of the pill with it's unique speckled pattern, is either saved locally or transmitted to our secure cloud image database. For every pill marked with a unique identification pattern, this initial scan is also the first in the product’s supply chain tracing requirement. GPS Information about the pill, it's chemical formule, manufacturing date, batch number and factory location, usage, adverse reactions, is saved into our database. Using our DeepPill phone app billions of pills can be GPS located and authenticated instantly for recalls, inventory tracking, distribution, adverse reactions, patient compliance, anti-counterfeiting, monitoring compliance of opioid drug treatment, and more.
Mobile Phone Identification of Medications with DeepPill
TruMedicines DeepPill SDK provides easy JSON, C#, Java, TXT, interfaces for integration to existing Mobile Healthcare apps. Our secure encrypted data transfer schema supports secure data transmission to Medical Healthcare Record software including: eClinicalWorks, McKesson, Cerner, Allscripts, Athena health, GE Healthcare, EPIC, Care360.