Edge Devices

Getting Started with VLM on Jetson Nano

Learn how to setup a pipeline to run VLM on Jetson Nano using Huggingface Transformers Run models like LiquidAI Moondream2 FastVLM and SmolVLM

Edge Devices, Jetson Nano, VLM on Jetson Nano, VLMs

VLM on Edge: Worth the Hype or Just a Novelty?

Testing Vision Language Models VLM on edge devices Check how small VLMs perform on our custom Raspberry Pi Cluster and Jetson Nanos

Edge Devices, Jetson Nano, Raspberry Pi, VLMs

YOLO11 on Raspberry Pi: Optimizing Object Detection for Edge Devices

Imagine you have multiple warehouses in different places where you don 8217 t have time to monitor everything at a time and you can 8217 t afford a lot of

Computer Vision, Edge Devices, Object Detection, Object Tracking, Raspberry Pi, YOLO

Object Detection on Edge Device: Deploying YOLOv8 on Luxonis OAK-D-Lite – Pothole Datset

This article discusses how to use any finetuned yolov8 pytorch model on oak d lite device with OpenVINO IR Format

Deployment, Edge Devices, Intel OpenVINO Toolkit, OAK

TensorFlow Model Optimization Toolkit – A Deep Dive

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

CNN, Deep Learning, Edge Devices, Image Classification, Model Optimization, Post Training Quantization, Raspberry Pi

TensorFlow Lite Model Maker: Create Models for On-Device Machine Learning

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

CNN, Deep Learning, Edge Devices, Image Classification, Model Optimization, OpenCV Tutorials, Post Training Quantization, Raspberry Pi