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PillEye – tablet, pill counter

PillEye – tablet, pill counter

Medility Inc.

Medical免费v3.13.1
App Store
评分

2.9

218 条评分

星级

★★★☆☆

最近更新

2026年5月7日

发布日期

2020年12月22日

更新内容

v3.13.1

v3.13.1 Update This update delivers a more intelligent AI and an enhanced user experience by improving app performance and usability. [Improvements] Enhanced AI Recognition Performance: The AI engine has been upgraded to improve object recognition performance and stability. Pill recognition rates and accuracy have been improved. Enhanced app stability and minor bug fixes. Thank you for always using PillEye. We will continue to do our best to provide an even better service.

应用信息

开发者
Medility Inc.
分类
Medical
价格
免费
版本
3.13.1
App ID
1537039316

简介

PillEye – Revolutionize Pill Counting Stop manually counting pills and switch to a faster, more accurate service with PillEye. Built for pharmacists, pharmacy technicians, veterinarians, and healthcare professionals, PillEye delivers precision and efficiency like never before. Key Features: - Photo Mode – Snap and Count: Capture a single photo to count up to 500 pills with unmatched precision. - 99.99% Accuracy: Whether you’re counting tablets, capsules, or halves, PillEye ensures every count is precise. - History Management: Save, review, and share your pill counts seamlessly with your team. Why Choose PillEye? - Faster Workflow: Cut your pill counting time by at least a third, freeing you up to focus on patient care and other important tasks. - Unmatched Accuracy: PillEye’s advanced technology guarantees over 99.99% accuracy, ensuring reliable results every time. - Effortless to Use: With real-time and photo counting options, PillEye makes the process intuitive and hassle-free. Stop wasting time with outdated manual counting methods. PillEye transforms your pill counting process, helping you work smarter, faster, and more accurately. Download PillEye today and experience the future of pill counting!

下载量预测

专业 · 预览

预估总下载量

16K11K31K
保守估计乐观估计

165

低 / 月

245

预估 / 月

472

高 / 月

基于218 条评分
假设评分率1.4%
应用年龄66 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。