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  Our computer vision projects have a range of capabilities that span across different domains. Custom development of computer vision technologies for any sensor and application, offering tailored solutions to add value, reduce costs, and enhance technology.

    With expertise in automated inspection, it enables the analysis of UV epoxy curing quality control, wears on cable connections, metal wear caused by friction, and fabric weave classification. Additionally, it specializes in analyzing the quality and representation of datasets for autonomous driving applications, including occlusion, shadows, and low-level lighting conditions. Recently our algorithm has successfully improved the resolution of medical devices for medical imaging.   

    With its advanced algorithms, image analysis techniques, and machine learning capabilities, our computer vision project is at the forefront of innovation, unlocking the potential to revolutionize industries and drive advancements in visual data analysis.

Revolutionizing Aerial Insights: Transforming Drone Imagery into Ortho Maps and 3D Models

Our advanced processing algorithms meticulously stitch together high-resolution drone images to create seamless Ortho Maps. These maps offer a georeferenced, top-down view of the surveyed area, providing accurate and up-to-date spatial information. Ortho Maps are invaluable for various applications, including agriculture, land development, urban planning, and environmental monitoring.

Historical Preservation Project in San Diego: Advanced 3D Modeling from Drone Footage

Mastering the art of crafting awe-inspiring 3D models from raw drone footage, our advanced techniques gracefully navigate the challenges posed by wind resistance and ever-changing environmental conditions. Leveraging photogrammetry, these meticulously generated 3D models not only ensure the preservation of our historical treasures but also unlock a world of possibilities, spanning from cultural preservation to urban planning and in-depth architectural analysis.

Cell Phone Driving Tracking with Computer Vision Integration

 Computer Vision Algorithms with DeepView Sensor Technology

Automated Inspection of UV Epoxy Curing Quality in Situ | Computer Vision Project

Enhance quality control with automated inspection using computer vision technology. Our custom solution ensures accurate assessment of UV epoxy curing quality, improving efficiency and reducing errors. Explore our computer vision project for automated inspection now.

Automated Inspection of Cable Connectors in Situ | Computer Vision Project

Improve automotive safety and performance with our computer vision project for automated inspection of faulty cable connections in the production line.

Enhancing Image Quality Assurance through Embedded Computer Vision Algorithms with DeepView Sensor Technology
Enhancing Image Quality Assurance through Embedded Computer Vision Algorithms with DeepView Sensor Technology

Automated Inspection of Metal Wear from Friction | Computer Vision Project

Revolutionize maintenance and boost productivity with a cutting-edge computer vision project. Detect and analyze metal wear caused by friction like never before. Advanced algorithm technology delivers precise insights, enabling proactive maintenance and slashing downtime.

Enhancing Dataset Quality for Autonomous Driving: Analyzing Occlusion, Shadow, and Low Lighting Conditions

Optimize the performance of your autonomous driving applications with our computer vision project. Our advanced analysis techniques evaluate the quality and representativeness of your dataset, specifically focusing on occlusion, shadow, and low-lighting conditions. Ensure reliable and accurate training of your AI models in challenging scenarios. Uncover the potential of computer vision to enhance your autonomous systems

Self Driving Automation by HARI Platfrom
Revolutionize Medical Device Resolution: Enhancing Image Clarity with Computer Vision

Experience a breakthrough in medical imaging with our computer vision project. By leveraging advanced algorithms and techniques, we significantly improve the resolution and image clarity of medical devices. Witness enhanced diagnostic capabilities, precise measurements, and improved patient outcomes.

In Situ Fabric Weave Classification: Unleashing the Power of Computer Vision

By harnessing advanced machine learning algorithms, our technology can accurately classify and evaluate the quality of fabric weaves. Detect flaws, inconsistencies, and irregularities in real-time, ensuring high standards of fabric production and meeting customer expectations.

Computer Vision Classification of Fabric, used to detect flaws
Upscaling Algorithm Used on Endoscoping imag using computer vision
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