COMPUTER VISION FOR MONITORING AND
SURVEILLANCE
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Enables real-time, automated monitoring without manual checks.
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Detects and tracks objects, changes, or anomalies from images or video.
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Uses deep learning models (e.g., CNNs, U-Net) for accurate segmentation and analysis.
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Integrates with sensors and IoT systems for data-driven decision-making.
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Supports scalable, continuous surveillance in agriculture, industry, and security.
Precision Agriculture
Uses drone and sensor data with CV to monitor biomass, nutrient levels, and optimize irrigation and fertilization.
Industrial Safety Monitoring
Automated detection of falls, unsafe proximity to machinery, and blocked emergency exits in warehouses or factories.
CV for Quality Assurance
Industrial Quality Assurance: Automate the detection of defects, foreign objects and assembly faults in real-time, ensuring zero defect product consistency and reducing inspection labor costs
Greenhouse & CEA
Automates humidity and light control while detecting early pest or stress signs for year-round production.
Urban Infrastructure Integrity
Monitoring bridges, roads, and railways for early signs of cracks, corrosion, or damage using drone/fixed cameras.