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Object Detection

"How can we make it easier for the user to make use of object detection?"

We have designed and created an interface and backend that provides users with a way to use their cameras for object detection without needing to have deep knowledge about object detection and machine learning.

Demonstration Video

All projects:

Aquarium Blue Team training Change Management Game Cities: Venlo Cooperative test robot II Corona speedtester Challenge Covid19 fast but secure testing Dashboard on Animal welfare Data Driven HLB Van Daal Data Quality Datics Butterfly SDM De Lockdown een tikkie terug Detect trends on a cliënt level Digital Authorization System Egg picking robot Eye-tracking FHICT Netlab automation FntsPresent Fontys Goede Start Global Goals Community Global Goals Community (GGC) HTES Pose tracking HTES1 Monitoring Robot Indoor Positioning at Low speed Industry 4.0 AAS security Intersect IoT security Machine learning in the aviation sector Machine learning models for object recognition – flag icon, 2D/3D objects Machine Management System Measure flower richness in agricultural areas Monitoring network New online identity Ruud Aerts sport Object Detection Offline OnScene Operation Room Optimising driver behaviour OWC Nepal data platform OWC Rwanda fundraising app Pharmapartners security PIDZ Loyalty Research Project AutoRepo Project Process-Mining Project Swimm PSV - My stadium Real Time Data Dashboard Research Digital Twins RigS Robot4Care Slimmer Kiezen Smart Office v2 Transferability and valorization document Smart Tactical Robot Student AI Learning Support (TEC) SVB Talent Engagement Branding Taxi on Spot Urban beamer Virtual Influencing Vitality Living Lab Wijkbeweegkaart Yokufa Youth performance prediction