Meet our case studies and concepts
Logistics operations face significant challenges with manual cargo inspection processes, including slow and error-prone quality control, delayed damage detection, and inconsistent inspection standards. These issues lead to increased operational costs and potential disputes over cargo condition.
We designed a concept of a web-based application that leverages computer vision AI to monitor loading ramps through CCTV cameras. The system automatically detects cargo issues, tracks pallets, and alerts personnel in real-time. Users can configure custom AI events and alerts for each video stream, while the application maintains comprehensive records of all detected incidents for analysis and reporting.
Medical professionals needed an efficient way to analyze patient gait diagnostics and manage medical documentation. Traditional methods required constant supervision during examinations, time-consuming data interpretation, and repetitive documentation tasks that took valuable time away from patient care.
We developed a concept of mobile application integrated with gait diagnostic sensors that streamlines the examination process through AI assistance. The solution provides clear visualization of test results, AI-powered documentation automation, and real-time assessment of examination accuracy. This comprehensive platform keeps all patient examinations and results in one accessible location while leveraging AI to reduce administrative workload.
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