Threat Detection in X-Ray
Implement Machine Learning Model for Threat Detection in X-ray Images Overview: Our customer, who specializes in security baggage scanners and physical security, has a set of bagga
At VoidStarMedia, we specialize in delivering robust AI/ML solutions tailored for edge devices. With the growing demand for real-time intelligence and the increasing compute power available at the edge, businesses can now deploy machine learning models directly on devices—minimizing cloud dependency, reducing latency, enhancing data privacy, and cutting infrastructure costs.
We have successfully developed, integrated, and deployed full-stack ML pipelines that work seamlessly with high-performance media processing workloads on edge platforms. These solutions empower our clients with real-time analytics, actionable insights, preventive diagnostics, and instant alert systems.
At VoidStarMedia, our case studies demonstrate how deep expertise in embedded systems, multimedia, and AI integration translates into scalable, high-performance solutions. With decades of experience, we consistently deliver innovative results across industries through precision engineering and proven execution.
Implement Machine Learning Model for Threat Detection in X-ray Images Overview: Our customer, who specializes in security baggage scanners and physical security, has a set of bagga
Overview We have developed a specialized application for object detection and tracking, utilizing a single camera module. The YOLOv5 trained model was implemented for accurate obje
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VoidStarMedia
Product Engineering Firm Streamlines Intricate Multimedia Workflows Across All Platforms
VoidStarMedia