Oscar Serra, leading Serra Factory in Spain, faced issues with their Serra Vision project which focuses on detecting objects like forklifts, persons, and drivers. They partnered with Gigalabs to resume and enhance the project, which had been paused. Our team worked to improve the system with advanced AI and technical solutions, leading to increased revenue, enhanced profitability, and a growing client base for Serra Factory.
The existing system had bugs and performance issues, causing frequent crashes and unreliable object detection.
The outdated AI models led to less accurate object detection and slower processing times.
Challenges integrating new features and technologies with the existing system created delays and technical obstacles.
The system lacked advanced capabilities such as real-time incident recording and detailed visualization, limiting its effectiveness
We worked with Serra’s team to enhance their neural networks. We integrated Deep Stream for better data processing and used CUDA to speed up performance. YOLO models were added for accurate object detection.
We identified and fixed critical bugs to ensure the system ran smoothly. This was essential for reliable performance.
We added a virtual twin for 3D visualization, logic-based performance detection, real-time incident recording with playback, and AI-powered web integration for easier access.
Improved operations led to a noticeable increase in revenue.
Enhanced system efficiency contributed to higher profitability.
Advanced features attracted new clients, showing Serra Factory’s commitment to innovation.
