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Action Recognition Model to detect Suspicious activties through Surveillance videos
New generated dataset for fight detection in surveillance cameras.
The Farm Crap App Pro (FCA) is the open-source app that helps to reduce fertiliser use by calculating organic manure nutrients values.
Farmy is an online market for buyers and sellers, but exclusively for the agricultural sector. (backend stack: Nodejs, Express, Redis, Mongo)
An app made for Smart India Hackathon 2018. An idea to help farmers of India to sell their products at much higher rate and with ease. With a vision to positively impact agriculture industry in India.
Recommendation system for farmers based on soil type, location, season etc.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
List of awesome resources for machine learning-based algorithmic trading
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to …
Real time Fight Detection Based on 2D Pose Estimation and RNN Action Recognition
3rd semester coursework about computer vision
Construction of a lumbar weapon detection system through CCTV cameras with the help of artificial intelligence neural network (YOLO_v5), which has been trained by the private dataset of Pashtaw.
This project aims to minimize the police response time by detecting weapons through a live CCTV camera feed. So it alerts the police as soon as it detects any sort of weapons. In our project we are…
Datasets for weapon detection based on image classification and object detection tasks
Weapon detection using neural networks in surveillance
ADAG (Activity Detector and Alert Generator) aims to take real-time videos from CCTV as an input and pass it to the CNN model created with the help of transfer learning and detect ‘Shoplifting’, ‘R…
Tool for deleting all photos from the Google Photos
Abandoned bag detection using multi dataset training with COCO and ADE20K
A human violence detection & classification system using recurrent neural networks(RNN).
Violence detection in videos using Deep Learning (CNNs + LSTMs). 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua on HockeyF…
Developed an object detection model using YOLO Darknet framework to prevent crimes. Collected the crime data manually from Google images as well as Imagenet database
To detect the abnormal/unusual human activities in a video
Unusual activity detection using Convolutional Auto Encoder by Learning Temporal Regularity