{"id":24647517,"url":"https://github.com/deepaksilaych/tf_urbanfuturism","last_synced_at":"2025-04-30T17:42:55.198Z","repository":{"id":248496490,"uuid":"828852661","full_name":"DeepakSilaych/tf_urbanfuturism","owner":"DeepakSilaych","description":null,"archived":false,"fork":false,"pushed_at":"2024-07-15T09:00:03.000Z","size":10,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T18:23:19.742Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DeepakSilaych.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-15T08:59:02.000Z","updated_at":"2024-09-25T06:11:08.000Z","dependencies_parsed_at":"2024-07-15T10:59:06.869Z","dependency_job_id":null,"html_url":"https://github.com/DeepakSilaych/tf_urbanfuturism","commit_stats":null,"previous_names":["deepaksilaych/tf_urbanfuturism"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeepakSilaych%2Ftf_urbanfuturism","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeepakSilaych%2Ftf_urbanfuturism/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeepakSilaych%2Ftf_urbanfuturism/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeepakSilaych%2Ftf_urbanfuturism/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DeepakSilaych","download_url":"https://codeload.github.com/DeepakSilaych/tf_urbanfuturism/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251753151,"owners_count":21638246,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-25T15:55:47.734Z","updated_at":"2025-04-30T17:42:55.150Z","avatar_url":"https://github.com/DeepakSilaych.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Smart Surveillance System\n\nBuild your own home Raspberry Pi powered surveillance iOT camera with Face recognition, access your live feed for any device.\n\n## How it works\nThe Camera would be able to be accessed from any device on the network, and you'll be notified when a known/unknown person is at your door\nby Email. With the a touchscreen interactive you would be able to also rotate your camera to view the blindspots you've wondered about.\nThis is fully customisable You can add features from IR LED for night vision to Sound module for audio output. \n\n## Preconditions\n\n* Minimum Raspberry Pi 4, 2GB is recommended for optimal Face recognition performance\n* [OpenCV face-recognition](https://github.com/ageitgey/face_recognition)\n* Raspberry Pi 4 Camera Module or Pi HQ Camera Module (Newer version)\n* Python 3 recommended.\n\n\n## Step 1 – Install dLib Library \u0026 Face recognition Library\nYou can find more details on the updated Pi 4 compatible installation notes on [Smartbuilds.io](https://smartbuilds.io/installing-face-recognition-library-on-raspberry-pi-4/):\n\n\n## Step 2 – Cloning SmartCCTV\nOpen up terminal and clone the SmartCCTV repo:\n\n```\nbash cd /home/pi\ngit clone https://github.com/EbenKouao/SmartCCTV-Camera\n```\n\n## Step 3 – Launch Web Stream\n**Pre-requisite:** Ageitgey Face_recognition Library is installed:\n\nNote: Creating an Autostart of the main.py script is recommended to keep the stream running on bootup.\n```bash cd modules\nsudo python3 /home/pi/SmartCCTV-Camera/main.py\n```\nYou could test a successful installation by running the Python script: facerec_from_webcam_faster.py\nFrom here you could program to add multiple profiles. We encourage contribution to this project.\n\n## Download Beta image of SmartCCTV-camera\nAny troubles installing, try out the already compiled Raspberry Pi (Raspbian OS) Image of [SmartCCTV Camera](https://smartbuilds.io).\n![SmartCCTV Raspbian Image](img/readme/smart-cctv-thumbnail.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepaksilaych%2Ftf_urbanfuturism","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepaksilaych%2Ftf_urbanfuturism","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepaksilaych%2Ftf_urbanfuturism/lists"}