
CountCam
count the number of items, supporting counting of many items such as steel pipes
App info
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App description
Android App Analysis and Review: CountCam, Developed by ShantuTech Co.. Listed in Tools Category. Current Version Is 1.2.1, Updated On 09/04/2025 . According to users reviews on Google Play: CountCam. Achieved Over 29 thousand Installs. CountCam Currently Has 1 Reviews, Average Rating 5.0 Stars
Use artificial intelligence technology to count the number of objects in the photo by taking picturesSingle image recognition supports counting thousands of targets. Currently, it supports counting steel pipes, steel bars, square timber, logs, cloth rolls and other objects, including the number of items in building materials, industry, agriculture, medicine and other fields. More items are still being adapted. Make boring, time-consuming and error-prone counting work easier, saving 90% of time.
If you need to adapt other items, please contact us and we will adapt and go online as soon as possible to help you work!
We are currently offering version 1.2.1. This is our latest, most optimized version. It is suitable for many different devices. Free download directly apk from the Google Play Store or other versions we're hosting. Moreover, you can download without registration and no login required.
We have more than 2000+ available devices for Samsung, Xiaomi, Huawei, Oppo, Vivo, Motorola, LG, Google, OnePlus, Sony, Tablet ... with so many options, it’s easy for you to choose games or software that fit your device.
It can come in handy if there are any country restrictions or any restrictions from the side of your device on the Google App Store.
What's New
【 Update 】
1.We have updated the identification process, making the identification more accurate.
2.We have added the adaptation for the long bar model.
【Optimizations】
1. We have improved the recognition accuracy of some models.
2. We have fixed some known issues and enhanced the product experience.
1.We have updated the identification process, making the identification more accurate.
2.We have added the adaptation for the long bar model.
【Optimizations】
1. We have improved the recognition accuracy of some models.
2. We have fixed some known issues and enhanced the product experience.