Edge Devices
Deploying ML on Arduino Nano 33 BLE. Explore TinyML techniques, setup steps, and why older Arduinos still rival the new Arduino Uno Q.
Learn how to setup a pipeline to run VLM on Jetson Nano using Huggingface Transformers. Run models like LiquidAI, Moondream2, FastVLM, and SmolVLM.
Testing Vision Language Models (VLM) on edge devices. Check how small VLMs perform on our custom Raspberry Pi Cluster and Jetson Nanos.
Imagine you have multiple warehouses in different places where you don’t have time to monitor everything at a time, and you can’t afford a lot of computes due to their
This article discusses how to use any finetuned yolov8 pytorch model on oak-d-lite device with OpenVINO IR Format.
In the previous posts of the TFLite series, we introduced TFLite and the process of creating a model. In this post, we will take a deeper dive into the TensorFlow
In this article, we will learn how to create a TensorFlow Lite model using the TF Lite Model Maker Library. We will fine-tune a pre-trained image classification model on the
The recent trend in developing larger and larger Deep Learning models for a slight increase in accuracy raises concerns about their computational efficiency and wide scaled usability. We can not
This is the third blog post in the Oak series. If you haven’t checked out the previous posts on OAK, check them below. In this post, we are going to
If you are unfamiliar with safety compliance and are debating whether or not to read this blog post, let’s answer the most important question first. Why should you read this
The AI community generously shares code, model architectures, and even models trained on large datasets. We are standing on the shoulders of giants, which is why the industry is adopting
We will learn the concepts of Epipolar geometry and point correspondences. We will then use these concepts discuss how to calculate depth from stereo disparity.
