We are planning to contribute to the companies' search for the best advertisement, with our product 'Commercial Message Scaler (CMS), by prioritizing the effect of advertisements on people and user experience. CMS is planned to be used with different services and scenarios mentioned below.
Our survey and results are based on your brain's activity.So it is not magic,only science!
Our company increases it's value day by day. Furthermore, the experience we have also accumulates.
Our databases is include so many advertisement!
Our policiy and ethics of our company does not allow information sharing with third party companies.
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Bloodstream will be observed with functional near-infrared spectroscopy (fNIRS) and the hemodynamic responses will be expressed in performance metrics using the trained model.
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We aim to bring new approaches to this sector with our groundbreaking approaches in advertising by below techniques.
The same advertisements will be watched sequentially by the user with the change of parameters, such as the music and colors used. Then it will be observed which advertisement attracts the viewer's attention more and which one is more focused. The observation will be performed by monitoring the user's brain activities.
A certain number of advertisements will be watched one after the other and it will be observed which advertisement attracts the viewer's attention more and which one is more focused. The observation will be performed by monitoring the user's brain activities.
It is aimed to compare two or more versions of a commercial video against each other to determine which one performs better using FNIRs device. Multiple advertisements of the same company will be watched by the user and his neuronal activity will be observed to determine which video affects users more. The test can be performed either by changing one variable at a time or to decide which one stands out among other commercials.
Hear more about us from the people we served!
BrainTechs Ltd. Şti. has amazing services! We didnt even realize that we need them, until we met them!
Since I am working as a Freelancer, it is difficult for me to test my designs with a community of customer. BrainTech was just in time for me!
We had to choose the best commercial video to sell our product more than our competitors sell. Thanks to BrainTech and 'CMS', we have broken sales record.
There is nothing I can say about Commercial Message Scaler. It is not something you should use for your company, it is something you have to use to be alive in the industry!
We are a company that tries to grow, using the fNIRS systems, which is one of the rising trends of recent times, taking into account the effect of advertisements on users, and analyzing whether the advertisements will be perceived well or badly by the audience by the help of machine learning.
Functional near-infrared spectroscopy (fNIRS) is a portable, non-invasive, brain imaging technology that uses low levels of non-ionizing light to record changes in cerebral blood flow in the brain through optical sensors placed on the surface of the scalp. These signals are recorded via cables, which allow neuroimaging experiments to be conducted on participants while performing tasks such as standing, walking or watching commercials.
The ESP32 WROOM 32U is a 32-bit microcontroller with a built-in Wi-Fi, Bluetooth and Bluetooth LE MCU module.The ESP32 WROOM 32U is a great choice for IoT projects because it is a low-cost, affordable, and it has easy-to-use Wi-Fi and Bluetooth module.
We used C programming language for programming ESP32 WROOM 32U and listening the data from ESP32. Then we used React.js for converting them into a graphic web page with the help of websockets. We used Firebase to save the data we receive in a serial manner, give the recorded data to the Machine learning algorithm and send it to a machine learning algorithm. We used Python to get results.
Firstly, The headband, to which our photodiode receivers are attached, will be put to the head of the person to be tested, with the photodiode part on his forehead. Secondly, the pulse oximeter is placed next to the computer where the advertisement will be watched in such a way that the person to be tested can put their thumbs comfortably. Then, when the user is ready to start the test, finger is placed on the pulse oximeter and the advertisement will be played as soon as the measurement starts. The data from both the pulse oximeter and the photodiodes are collected, and as soon as the advertisement is finished, the measurement can be paused and the results can be sent to the database, or the machine learning algorithm can be made to predict whether the user likes the advertisement or not.
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