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  1. Home
  2. Research
  3. Interface
  4. On-Device AI Pill Counter

On-Device AI Pill Counter

Computer vision systems that count pills locally without cloud processing
Back to InterfaceView interactive version

On-device AI pill counters use computer vision and machine learning running directly on compact devices to automatically count pills with high accuracy and speed. These systems process images locally without requiring cloud connectivity, ensuring privacy, low latency, and operation in environments without internet access. The AI algorithms can identify and count various pill types, shapes, sizes, and colors, handling complex scenarios like overlapping pills, different lighting conditions, and various container types.

The technology addresses critical needs in pharmacies, hospitals, and pharmaceutical manufacturing where accurate pill counting is essential for patient safety and regulatory compliance. On-device processing ensures that sensitive medical information never leaves the device, addressing privacy concerns. The compact form factor makes these systems portable and suitable for use in various settings. Fast processing enables high-throughput counting, improving efficiency in busy pharmacies and manufacturing facilities. The systems reduce human error in manual counting, provide audit trails, and can integrate with inventory management systems. This technology is particularly valuable for controlled substances, high-value medications, and situations requiring precise dosage verification.

Technology Readiness Level
5/9Validated
Impact
3/5Medium
Investment
3/5Medium
Category
Applications

Related Organizations

Maru (Pilleye) logo
Maru (Pilleye)

South Korea · Startup

98%

Developer of Pilleye, a mobile app that uses AI vision to count pills instantly via smartphone camera.

Developer
Capsa Healthcare logo
Capsa Healthcare

United States · Company

90%

Provider of the Kirby Lester line of pill counters, which utilize advanced optical sensors and on-device processing.

Developer
Becton, Dickinson and Company (BD) logo
Becton, Dickinson and Company (BD)

United States · Company

85%

Global medical technology company that acquired Parata Systems, makers of the Eyecon visual pill counter.

Acquirer
RxSafe logo
RxSafe

United States · Company

85%

Pharmacy automation company developing systems like the RxSafe 1800 which includes verification vision systems.

Developer
Torbal logo
Torbal

United States · Company

85%

Manufacturer of precision scales and pill counters that use advanced weighing algorithms and local processing.

Developer
Global Factories logo
Global Factories

Netherlands · Company

80%

Developers of the VBM (Verification Blister Machine) which uses vision technology to verify medication.

Developer
Innovation Associates (iA) logo
Innovation Associates (iA)

United States · Company

80%

Pharmacy fulfillment technology company providing intelligent counting and dispensing solutions.

Developer
ScriptPro logo
ScriptPro

United States · Company

80%

A leader in pharmacy automation robotics that includes visual inspection and counting mechanisms.

Developer
Yuyama logo
Yuyama

Japan · Company

80%

Major Japanese manufacturer of pharmacy automation and pill counting machines.

Developer

Supporting Evidence

Paper

Real-time pill image recognition on edge devices with Adaptive Lightweight Attention

Journal of Real-Time Image Processing · Jan 20, 2026

This paper presents an efficient framework for real-time pill image recognition on edge devices using Adaptive Lightweight Attention (ALA). The approach achieves 96.23% accuracy with real-time performance (3–4 FPS) on resource-constrained edge devices, addressing privacy and connectivity issues.

Support 95%Confidence 98%

Article

Pill Counter AI on the App Store

Apple App Store · Apr 23, 2025

A mobile application that counts pills instantly using the camera with 99.99% accuracy. Features include Photo Mode and Live Mode for real-time counting.

Support 90%Confidence 98%

Article

Pill Counting Kiosk | Vision-Powered iOS Solutions

Aila Technologies · Apr 1, 2025

Describes a commercial pill counting kiosk solution powered by vision technology on iOS devices, offering automated counting without calibration for enterprise pharmacies.

Support 90%Confidence 90%

Article

Counting on AI: The Future of Pharmacy Automation

FoundingMinds · Mar 12, 2025

Discusses the evolution of pharmacy automation, highlighting how AI-driven systems on smartphones and computers are making pill counting viable and effective for independent pharmacists.

Support 75%Confidence 85%

Paper

QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design

arXiv · Jan 1, 2026

Proposes a hardware-software co-design for efficient edge inference of small language models, addressing memory and latency constraints relevant to complex edge AI tasks.

Support 60%Confidence 85%

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Technology Readiness Level
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Impact
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