Advanced Pharmaceutical 
Pharmaceutical Medication Tracking API Services
The 2013 Drug Security Act requires by 2020, a drug distributor to report all product locations within 24 hours of an adverse event.

TruMedicines has the solution, by combining the power of Neural Network Image Recognition with the unlimited scale of Mobile phone and Big Data Networked Services, billions of drug tablets can be instantly GPS tracked worldwide. 
Pattern Image Recognition
DeepPill Capsule Neural Network
TruMedicines uses advanced Capsule Neural Network image processing to identify Billions of registered pill images. Technology Protected by U.S. and International Patents.
FDA Guidance 
Colored Excipients in solid dose
2011 Oct FDA Guidance recommends the use of colored excipients for identification and prevention of counterfeiting.
2013 Drug Security Act
Pharmaceutical Tracking by 2020
Implement verification measures: Verify the drug is what it claims to be. Within 24 hours of a request from the dispenser to the manufacturer or repackager
High Speed Pill Cameras
30 years of Photographing Pills 
High speed cameras verify quality of capsules and pills in 2,500 production lines around the world. Pill images are uploaded to Microsoft Azure Servers for comparison.
Opioid Treatment Tracking
Suboxone compliance is monitored
Compliance with drug treatment programs can monitor hundreds of patients at a fraction of the cost of traditional 30 day in-service treatment programs. Stops Relapse
DeepPill open Source API
Pill identification can be used by IOT 
TruMedicines open source API interface allows 3rd party developers to integrate pill identification into advanced hardware hololens, glasses, or devices with cameras.
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.

TruMedicines Data Services

Non-disruptive to manufacturers, pharmacies and consumers.
Turnkey to pharmaceutical manufacturing and packaging.
Compatible with cGMP manufacturing and standard pharmacy dispensing

TruMedicines subscription based services allows maximum flexibility for our customers needs. Each element of the subscription service can be chosen from a list of available data services. 
Access to DeepPill Recognizer
+ API documentaion
+ Mobile App Guides
+ Flexible pay per API
+ Annual Subscription
USD$ 990/mo
+ GPS Tracking of Pills
+ Big Data Dashboard
+ 24/7Inventory Tracking
+ Recall Notifications
USD$ 4,900/mo
Turn Key 
+Mobile App Deployment
+Product Image capture
+GPS tracking of Pills
+Recall Notifications
USD$ 8,990/mo

The Team

David Prokop
Founder / CEO
- 16 years Microsoft  Dev XBOX  Kinect
- Int’l Hard/Software Dev PM
- 25 Patents, 11 Licensees
- BSc. Univ of Waterloo, Canada
John Blackmon
Director of Software Engineering
Directs and oversees the software engineering function in developing, releasing, and maintaining software applications/operating systems according to business needs.
Jessica Whitehouse
Director of Database Admin
Directs and oversees the Global Database Management function in developing, releasing, and maintaining 24/7 access to Global software applications/operating systems.