Ai Image Recognition -   Ai Medication Dispenser Increase Hospital Care Capacity -  Funded by NIH-FDA grant   

Ai Medication Pill Packet Dispenser TeleHealth monitor 

Increase capacity of Hospital COVID-19 remote monitoring of patients in-home in remote locations to increase capacity of the healthcare system to treat patients. The 2020 Corona Virus Pandemic requires remote monitoring of non-critical care patients in-home monitoring by connecting to in-home monitoring devices; blood pressure, heart rate, ventilators, glucose monitors etc. Ai Avatar Medication Assistant Avatar asks health questions to patient to self-report; adverse reactions, mood, stress level sleep, cognitive function etc.

TruMedicines Ai combines the power of Machine Learning Neural Network Image Recognition with the unlimited scale of Cloud Network Services, to track billions of  pill packages instantly using GPS coordinates worldwide. Our text to speech can make drugs accessible to the blind or elderly, it stops counterfeiting, improves therapy compliance, improves distribution, assures quality, authenticates the accurate packaging of pill packets, and provides instant inventory GPS locations for drug recalls.         
TruMedicines Co received a research grant from the Dept of Health and Human Services - FDA Grant #1R43FD006302-01 Project Title: Development of TruMedicines Recognition Authentication Cloud Intelligence For Drug Product Surveillance Software Solutions to Address FDA Post-Marketing Drug Surveillance Challenges Opioid Addiction   
Ai Pill Pattern Image Recognition
DeepPill Image Edge Neural Network
TruMedicines uses advanced Image Edge Neural Network processing to identify Billions of registered pill images. Method protected by U.S. and International Patents.
FDA Identification Guidance 
Track/trace/authenticate Oxycontin pills
2011 Oct FDA Guidance recommends the use of colored excipients for identification and prevention of counterfeiting.
Pharmaceutical Tracking by 2023
FDA 2023 Recalls all product to be located within 24 hours. We recommend all narcotic pills to be registered in an image database
High Speed Cameras
30 years of Photographing Pills 
High speed cameras verify quality of pills and capsules in 2,500 production lines.360 degree photos 2,000/min., 100%inspection, images uploaded to cloud databases
Opioid Drug Treatment Adherence Tracking
Therapy Drug compliance is monitored
Adherence 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 - SAAS - Pill Identification Service API
Pill identification can be used by devices IOT 
TruMedicines SAAS API interface allows 3rd party developers to integrate image recognition into hardware; Pill Packaging, Ai Pill Packet dispensers, etc.


FDA Requires Drug Supply Chain Tracking by 2023
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 location and frequency, complex interactions such as these are done in real time. In a cycle as short as 50 microseconds to a few milliseconds, a pill or device 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. 

Medical Devices UDI tracking required by 2023
The U.S. Food and Drug Administration (FDA) created unique device identification, often abbreviated UDI, a rule that requires medical device manufacturers to label their products, and in some cases, direct product markings, with both a unique device identifier and production identifiers (such as expiration date and lot or serial number). The FDA has also created a database called the Global UDI Database (GUDID) to which manufacturers upload product data and that is searchable by the public.

The FDA’s intent is to reduce medical errors and more quickly identify medical devices in the case of adverse events or recalls, in addition to providing an accessible source of definitive device identification information. Unique device identifier (UDI) in human- and machine-readable form class I and unclassified devices tracked by September 24, 2020

21 CFR 801.45, “[a] device that must bear a unique device identifier (UDI) on its label must also bear a permanent marking providing the UDI on the device itself if the device is intended to be used more than once and intended to be reprocessed before each use."
Drug Tracking
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 is easy as 1-2-3

1. Upload product photos with unique identifier pattern (UIP) to your TruMed account
2. TruMed securely stores & indexes 100 million images using Machine Learning Ai   
3. Using phone app, send a photo of UIP to TruMed, we verify and show product info



Non-disruptive to device 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. Customized subscriptions can choose from a list of available Ai 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.