KEMBAR78
Edge ai and vision alliance
Edge AI and Vision Alliance, profile picture

Edge AI and Vision Alliance

Sort by
“Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles,” a Presentation from Valeo
“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai
“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute
“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits
“Introduction to Depth Sensing: Technologies, Trade-offs and Applications,” a Presentation from Think Circuits
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
“Transformer Networks: How They Work and Why They Matter,” a Presentation from Synthpop AI
“Understanding Human Activity from Visual Data,” a Presentation from Sportlogiq
“Multimodal Enterprise-scale Applications in the Generative AI Era,” a Presentation from Skyworks Solutions
“SKAIVISION: Transforming Automotive Dealerships with Computer Vision,” a Presentation from SKAIVISION
“Real-world Deployment of Mobile Material Handling Robotics in the Supply Chain,” a Presentation from Pickle Robot Company
“Developing a GStreamer-based Custom Camera System for Long-range Biometric Data Collection,” a Presentation from Oak Ridge National Laboratory
“Scaling Artificial Intelligence and Computer Vision for Conservation,” a Presentation from The Nature Conservancy
“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta