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video-surveillance

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The intelligent surveillance of footages will be performed via a spatio temporal autoencoder. This will be based on a 3D convolution network. The encoder part extracts the spatial and temporal information, and then the decoder reconstructs the frames. The abnormal events are identified by computing the reconstruction loss using Euclidean distanc…

  • Updated Jun 4, 2021
  • Python

Our Automatic License Plate Recognition (ALPR) system is built using state-of-the-art methodologies and techniques to provide the optimal speed/accuracy trade-off at each level. Images of vehicles and Moroccan and European LPs were used to train the neural networks.

  • Updated Aug 22, 2023
  • C++

DeepEYE utilizes computer vision to detect anomalies in video surveillance, offering a proactive security solution. By employing advanced machine learning algorithms, it distinguishes between normal activities and potential threats, enhancing surveillance across sectors like public safety, industry, and smart cities.

  • Updated Apr 11, 2024
  • Python

Contains home security/automation modules for motion detection and temperature alert (used Raspberry Pi Zero). Output trigger and module's setting could be configured from a computer software. Raspberry Pi Zero communicates through the TCP connection. The package keeps the log of motion detection and the temperature. It also has SMS alert features.

  • Updated May 21, 2019
  • Python

The Smart Security Camera System is a Python project that leverages facial recognition, real-time alerts, and video streaming to enhance home security. It detects unrecognized individuals, sends SMS alerts, and provides remote access to live video feeds. Experience advanced surveillance with easy setup and intuitive controls.

  • Updated Aug 9, 2023
  • Python

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