For our client, a platform dedicated to exchanging children’s clothes, we have created an innovative project that involves automating the entire sales process.
The platform serves as an exchange hub, enabling users to easily and quickly pass on, describe, and acquire used children’s clothing.
The implemented technology automates the entire process, from classifying the clothing according to specified categories, creating descriptions, measuring dimensions, to proposing a price
For our client, a platform dedicated to exchanging children’s clothes, we have created an innovative project that involves automating the entire sales process.
The platform serves as an exchange hub, enabling users to easily and quickly pass on, describe, and acquire used children’s clothing.
The implemented technology automates the entire process, from classifying the clothing according to specified categories, creating descriptions, measuring dimensions, to proposing a price
The case study shows how OnstageAI is revolutionizing classical concert productions, improving artistic quality while significantly reducing costs.
The case study shows how OnstageAI is revolutionizing classical concert productions, improving artistic quality while significantly reducing costs.
The “Blindsight” case study looks at a Digital-Out-Of-Home (DOOH) advertising company’s struggles with privacy laws called GDPR. This company uses a network of LCD/LED screens to run their ads.
The “Blindsight” case study looks at a Digital-Out-Of-Home (DOOH) advertising company’s struggles with privacy laws called GDPR. This company uses a network of LCD/LED screens to run their ads.
The task in this project was to use satellite imagery to identify situations on the ground. The project focuses on agricultural areas: identification of crops and their hazards (anomalies) and segmentation of satellite images based on the specifics of the above.
The basis of the solution was the use of a deep neural network to perform the image segmentation task and our LITL technology which was essential for the quality of image tagging.
As a result of the cooperation with the client/partner, a plug-in was created that implements the implemented functionalities and can be further developed.
The task in this project was to use satellite imagery to identify situations on the ground. The project focuses on agricultural areas: identification of crops and their hazards (anomalies) and segmentation of satellite images based on the specifics of the above.
The basis of the solution was the use of a deep neural network to perform the image segmentation task and our LITL technology which was essential for the quality of image tagging.
As a result of the cooperation with the client/partner, a plug-in was created that implements the implemented functionalities and can be further developed.
Mathematical models in service of the environment and the mining industry
Mathematical models in service of the environment and the mining industry
Security On-Demand (SOD) enhances its cyber threat detection services with the integration of AI technology. The system uses machine learning algorithms to detect suspicious network events and prioritize alerts for the Security Operations Center. Utilizing active learning and data labeling optimization, SOD improves its process efficiency and security.
Security On-Demand (SOD) enhances its cyber threat detection services with the integration of AI technology. The system uses machine learning algorithms to detect suspicious network events and prioritize alerts for the Security Operations Center. Utilizing active learning and data labeling optimization, SOD improves its process efficiency and security.
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