Quick Solutions to Complex Problems with BirghtIQ
The artificial intelligence platform that is transforming the way we solve problems.
Artificial intelligence remains the engine that powers the world's most transformational companies. As Arvonas Technology, with our experience and expertise, we support companies in their digital transformation with the BrightIQ platform, where they will get flexible and fast results in this transformation process.
Our platform enables businesses to manage their costs by realizing real-time controls with the analysis capability it provides, while helping to solve complex problems much faster. It makes a great contribution with its low error rate in routine analysis works where human abilities are limited and cannot be done continuously.
AR-GE and Business Partnerships
We built our platform on the most modern technology architecture and we continue to research every day to move it to more up-to-date technologies. We are working on the latest technologies in artificial intelligence and image processing with the resources we allocate to AR-GE, both with local and international university collaborations. By integrating these technologies into usable form, we offer them to our customers with the aim of creating added value.
We use a wide range of technologies such as Tensorflow, Hadoop, Kafka, StreamSets, Apache frameworks to achieve this. In addition, with the integration architecture we have defined to facilitate data processing, we enable many businesses to easily deploy our system.
Advanced Data Collection and Monitoring Tool
Our BrightIQ platform can simultaneously collect data from multiple camera sources and manage it across data lines. Video processing (GPU Support), conversion, object detection, object recognition, motion analysis etc. Analyzes with modules such as Image processing, object detection/recognition and feature extraction, etc. It displays the analysis results instantly on the platform with its modules.
Oracle, IBM Db2, Microsoft Azure, AWS RedShift, Google BigQuery etc. You can process JSON , XML, XLS, DOC data or output analysis results.
Continuous Improvement and Minimum Error
We strengthen the algorithm according to the customer by collecting contradictory data sets from the field so that it can be integrated into the field and work areas with the artificial intelligence systems developed with special algorithms with the data sets previously collected from the field and work areas.
The collected data feeds into real use case scenarios of facilities using our platform. In this way, the repository we create contains the best examples that enable relevant use cases to evolve.
Different versions, advanced learning
Different versions of the same equipment type are used in various facilities (such as helmets, reflective vests, forklifts in different colors and designs). In this way, a larger data pool is obtained than any other platform and it is possible to train the best AI models in the field of occupational safety.
Fact Check
Once your specific use cases have been set up on the BrightIQ platform, a warning will be sent if a mismatch is detected. It takes samples to ensure the accuracy of the warnings and evaluates them as true warnings or false warnings. This process improves the accuracy performance of our models.