SmartClick
Innovative Technologies Powered by AI
SmartClick creates innovative solutions to real-world problems using state of the art AI techniques.
We bring the power of Artificial Intelligence to develop advanced technologies using Computer Vision, Data Analysis, and Automation that help businesses drive efficiency, growth and profitability.
Our proprietary technologies range from Face Recognition, Automated Machine Learning to Food detection, and much more.
Visual Recognition
1. Image Classification
We build models that can automatically detect and classify objects in an image according to its visual content using as few as five reference images.
2. Object Detection & Segmentation
Tqd allows for identifying any given object within an image or a video in real-time. Object detection can be used to locate the exact positions of objects and label them accurately.
3. Emotion Detection
SmartClick is capable of detecting more complicated patterns that take place through time, such as analyzing emotion through facial expressions, estimating human pose, and a sequence of actions.
4. Food Detection
The food detection system immediately detects the type and amount of food items with the capability to estimate the cost.
5. Face recognition
Our cutting-edge face recognition technology detects faces within a video or an image in real-time. The system locates the features of the face comparing with the images available in the database and identifies if the person exists in the database, or detects them as an unknown person.
Data Analysis
1. Predictive Analysis
We use machine learning algorithms and deep learning to predict the most likely future events from given historical data. For example, we can determine the possibility of churn, the probability of certain ads getting clicked, etc.
2. Segmentation
This is the method of partitioning the data into multiple groups based on complex patterns within the data, such as grouping users by similarities of their activities, given the user data. We also apply this technology for detecting fraud and developing domain knowledge.
3. Recommendation/Reinforcement System
Our AI-based system makes use of data and algorithms to improve decision making process and provide relevant recommendations for various scenarios, such as ad revenue, customer satisfaction, time spent on application based on the history of the user and the behavior of similar users.