Our models’ speed and accuracy are optimized to match the latest state-of-the-art techniques.
We developed Norfair, our customizable lightweight Python library for real-time multi-object tracking.
Fast video processing pipelines using DeepStream in embedded devices, Cloud or desktop GPU.
IoT transforms how industries interact with their customers, data and devices. Edge computing mitigates network limitations, reduces energy consumption, increases security and improves data privacy.
Tryolabs partners with NVIDIA & BDTI
Together with BDTI, NVIDIA and Jabil, we created Maskcam, a product capable of running a real-time deep learning face mask detection model on an embedded device: real-time AI on the edge.
Monitoring helmet usage in different scenarios leads to useful insights to take preventive actions, saving time and resources. Partnership with Seeed.
Tryolabs IoT Squad
We are constantly researching on how to address challenges like optimizing algorithms for lowering power consumption, using less computing and optimizing inference times for specific hardware. We also benchmark different hardware platforms to be ready to tackle state-of-the-art Ai-IoT problems.
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