This application uses a vast database, with the sequence of "activation" of ideal colors for each manufacturer and model, taking into account our tests to correct the problem and adjusted by artificial intelligence.
That is, the execution will be specifically adapted for your device, based on what has worked best on other similar devices. And this data is calibrated with each test performed, thus optimizing the experience of all users of the app.
The burn in effect is the terror of the owners of devices with OLED and AMOLED screens, whether TVs, monitors or cell phones. The “ghosts” that are marked on the screen, once seen, are difficult to ignore.
In general, models that use P-OLED or AMOLED screens are all subject to the problem; the exception is devices with LCD screens.
The most common case of burn in occurs with Android's virtual navigation buttons and icons at the top of the screen that are displayed almost 100% of the time the screen is on.
Manufacturers in general claim that the warranty does not cover burn in, as the problem characterizes misuse of the device.
Once the screen is with Burn In, there are several software to help solve the problem.
The adjustment usually consists of forcing a reset of the pixels, and this is done through a color balance, the process can take from 10 minutes to a few hours, depending on the device and the severity of the problem.
Data safety
Safety starts with understanding how developers
collect and share your data. Data privacy and security practices may vary based
on your use, region, and age. The developer provided this information and may
update it over time.
Whats New
- ampliada compatibilidade com mais versões do SO
- adicionado suporte para telas dobráveis
- ajuste de bugs
- melhoria na rede neural
- melhorado suporte para diversos modelos
- melhorado suporte de aparelhos: ASUS, Samsung, Xiaomi
Importante! Nem todos os devices podem ser corrigidos, especialmente os que não utilizam telas originais.
Dispositivos com hardware original (tela) são reparados com mais facilidade. A qualidade do hardware influencia a eficiência do reparo.
