Since its inception, intuVision has excelled in solving complex video analytics problems, transforming cutting-edge research into practical, high-performance solutions for real-world applications. Our team combines deep expertise in computer vision with robust software and systems development skills to deliver scalable, efficient, and reliable analytics tailored to a wide range of industries.
At the core of our offerings is intuVision VA, our flexible, feature-rich video analytics platform. With an extensive event library, support for compound events, integration with external sensors, and virtually unlimited object classification options, most customer needs can be met right out of the box, with no costly customization required.
When unique functionality is needed, our in-house development team builds on a strong foundation of proprietary research to quickly deliver customized solutions. This approach ensures rapid turnaround, lower costs, and minimal disruption to your operations.
intuVision VA has been deployed in a wide variety of innovative and mission-critical projects, demonstrating its adaptability across industries and environments. From tracking production lines in manufacturing facilities, to monitoring salmon migration in rivers, to detecting suspicious behavior at gas pumps, and even identifying muddy or obstructed roadways—intuVision VA consistently delivers actionable insights.
These successful deployments have been achieved through intelligent configuration of existing features or the fast development of custom capabilities tailored to each project.
What truly sets intuVision apart is not just our advanced analytics platform, but the agility and expertise of our team. Our engineers and developers possess deep domain knowledge in computer vision, paired with strong skills in software engineering and systems integration. This allows us to deliver high-performance, user-friendly solutions that meet the evolving needs of our clients.
Whether you're a small business looking for targeted security analytics or a large enterprise managing complex surveillance across multiple sites, intuVision works closely with you to design and implement solutions that fit your unique requirements.
Our goal is simple: to provide actionable intelligence through intelligent video - enhancing safety, improving operational efficiency, and collecting actionable data across all deployment types.
Below are several successful customer projects that highlight how intuVision VA’s versatile video analytics platform—featuring both powerful off-the-shelf capabilities and tailored customization options—has been effectively utilized to meet diverse and often complex operational needs. These case studies demonstrate how our adaptable solutions have empowered clients across various industries to address their unique video analytics challenges, improve decision-making, and achieve measurable results.
Mud accumulation on roads, especially near roadside construction sites, poses both safety risks and operational disruptions – yet running manual patrols to monitor road conditions is costly and inefficient. Partner Bi3 approached intuVision with this challenge.
Using the provided sample videos, intuVision rapidly developed a custom surface anomaly detection solution tailored to the requirements. This high-accuracy detector, working under changing lighting and weather conditions, is now deployed at multiple sites in UK and integrated into the intuVision VA Manufacturing module, providing automated, reliable monitoring to help keep roads and other surfaces clear and safe.
Illegal dumping often results in significant cleanup costs for municipalities. Longtime intuVision Certified Reseller, Bi3, approached intuVision to develop a solution for detecting illegal dumping.
Existing intuVision VA features, namely Litter Detection together with Vehicle Detection in a compound event structure, provided the solution. When objects are left in designated no-dumping zones, vehicles present at the time of dumping are detected and correlated. All relevant data is automatically packaged for review and to support the enforcement actions.
intuVision was approached by an environmental conservation group, using underwater cameras to track annual salmon migration, processing and analyzing months of underwater footage, and counting the salmon among other fish species and debris.
Using intuVision VA's user-trainable classification, models were developed to distinguish between salmon and other fish and underwater objects. Leveraging the faster-than-realtime post-processing analytics, more than two months of recorded video was analyzed in a week and efficiently condensed into just 300 relevant five-minute video clips — allowing researchers to easily verify fish species and observe their behavioral patterns.
A meat packing plant approached intuVision to accurately count empty/clean and full trays moving along a fast-paced production line. The environment was highly variable — trays could be empty, partially filled, or fully loaded with different types of meat, requiring custom feature development.
intuVision's engineering team implemented detection algorithms tailored to this complex environment, and achieved consistently accurate counts, improving operational efficiency and minimizing errors.
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