OnePetri vs CountThings By Camera

Harness the power of AI and accelerate common microbiological petri dish assays with OnePetri! Tired of manually counting plaques on petri dishes? Count plaques in near real-time with OnePetri, an automated plaque counting iOS app! OnePetri currently supports bacteriophage plaque-based assays, with support for bacterial CFU counts coming in a future release! === About OnePetri === OnePetri uses machine learning models & computer vision to automatically detect petri dishes and plaques, count plaques, and perform common assay calculations with these values (plaque/titration assay). Note that as of now, OnePetri only works with circular petri dishes; however, other shapes (square & rectangle) may be added if sufficient training images can be obtained. Additionally, the models used in the app require one plate per dilution, and as such, spot assays are not currently supported. All image processing & detection is done locally on-device, with no need for an internet connection once the app has been installed. As such, OnePetri does not collect, store, or transmit any user data or images. Updates are likely to be released regularly, so regular access to the internet is strongly recommended. === Plaque count accuracy & validation === There are no restrictions on how OnePetri is used; however, the models included in the app may occasionally miscount plaques (too many, or too few) and this could affect downstream experiments and calculations. As such, all counts done by the app should always be validated by manual counting or another established "gold standard", especially in cases where it is critical to know precise values (ie. phage titration for phage therapy). The model accuracy will improve with each release thanks to additional training data provided by the community. OnePetri is completely open source, with the initial training dataset and app source code publicly available! For more information on how to contribute to the app's codebase, please visit the OnePetri website (https://onepetri.ai).

【Introduction】 The precise point camera uses artificial intelligence combined with mobile apps, integrates computer vision capabilities into the mobile phone, can perform artificial intelligence analysis on the picture, and calculate the number of items in the picture. Compared with traditional image recognition, it has many advantages. 【Function】 1. Provide a constantly updated template library, users can select templates that meet their own requirements for statistics through the template library. 2. Provide two identification methods: taking pictures and selecting from albums 3. Provide area circle selection function to identify more accurately and quickly 4. Provide manual correction function, you can manually correct the results 5. Provide a history record function, you can save the results for later viewing 6. Provide a variety of items at the same time statistics function. 【Features/Advantages】 1. There is no requirement for the background of the picture. Traditional image recognition has very strict requirements on the background of the picture, and it can only be recognized under the background of a solid color. The precision point camera adopts a new generation of artificial intelligence counting, and there is no requirement for the background of the picture. 2. It has strong interference to the debris pit in the picture, the target object can be easily identified in the complex picture, and has a strong filtering effect on other debris interference. 3. There is no requirement for the size of the object, and items of various sizes can be counted, and there will be no wrong statistics due to size differences 4. Multi-class statistics, you can count a variety of classified items at one time, and calculate the number of each classified item. 5. Accurate statistics on complex items of various forms, and can count items with various forms, such as complex items such as people, can also be accurately counted. 6. Multi-classified nuanced statistics. It is possible to perform classification statistics on two very similar items, such as whether the medicine is defective. 【Currently supported items】 1. Agriculture and forestry: rice, red beans, black beans, soybeans, logs, Arabidopsis, peas 2. Breeding: small river shrimp, various sizes of fry, shrimp fry, fish eggs 3. Construction: steel bars, steel pipes 4. Biomedicine: bacterial colonies, cells 5. Society: people, bamboo sticks 6. More items are being supported, and you can also put forward your own needs in the software if necessary.