Wearable AI cameras like Ray-Ban Meta smart glasses are outpacing the privacy and consent laws meant to protect people from covert recording. And the resulting footage is increasingly feeding the ...

Step 1: First, you need to make an account on the CircuitDigest Cloud. If you already have one, just go to the CircuitDigest ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

Abstract: This paper presents the design and implementation of a mobile robot utilizing an IoT-enabled architecture for AI-powered remote control and monitoring. The system relies on IoT as its core ...

Detect vehicle license plates in videos and images using the tensorflow/object_detection API. Train object detection models for license plate detection using TFOD API, with either a single detection ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

We implemented Panopticus using Python and CUDA for GPU-based acceleration. All neural networks were developed using PyTorch [41] and trained on the training set in the nuScenes dataset [2]. Note that ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Most state-of-the-art 3D object detectors heavily rely on LiDAR sensors and there remains a large gap in terms of performance between image-based and LiDAR-based methods, caused by inappropriate ...