{"id":34501480,"url":"https://github.com/abdlazeem/hand_gesture_controlled_led","last_synced_at":"2026-04-29T21:34:36.552Z","repository":{"id":329353940,"uuid":"1119092098","full_name":"AbdLAzeem/Hand_Gesture_Controlled_LED","owner":"AbdLAzeem","description":"real-time hand gesture recognition system that detects the number of fingers raised using a webcam and controls LEDs connected to an Arduino Uno accordingly.","archived":false,"fork":false,"pushed_at":"2025-12-19T01:17:16.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-12-21T23:38:14.427Z","etag":null,"topics":["arduino","mediapipe-hands","opencv","python-3"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AbdLAzeem.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-12-18T18:20:44.000Z","updated_at":"2025-12-19T21:10:13.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/AbdLAzeem/Hand_Gesture_Controlled_LED","commit_stats":null,"previous_names":["abdlazeem/hand_gesture_controlled_led"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/AbdLAzeem/Hand_Gesture_Controlled_LED","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbdLAzeem%2FHand_Gesture_Controlled_LED","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbdLAzeem%2FHand_Gesture_Controlled_LED/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbdLAzeem%2FHand_Gesture_Controlled_LED/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbdLAzeem%2FHand_Gesture_Controlled_LED/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AbdLAzeem","download_url":"https://codeload.github.com/AbdLAzeem/Hand_Gesture_Controlled_LED/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbdLAzeem%2FHand_Gesture_Controlled_LED/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27992996,"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","status":"online","status_checked_at":"2025-12-24T02:00:07.193Z","response_time":83,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["arduino","mediapipe-hands","opencv","python-3"],"created_at":"2025-12-24T02:02:08.362Z","updated_at":"2025-12-24T02:02:25.293Z","avatar_url":"https://github.com/AbdLAzeem.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hand_Gesture_Controlled_LED\r\nPython | OpenCV | MediaPipe | Arduino Uno\r\nOverview\r\n\r\nThis project implements a real-time hand gesture recognition system that detects the number of fingers raised using a webcam and controls LEDs connected to an Arduino Uno accordingly.\r\n\r\nUsing OpenCV and CVZone (MediaPipe Hand Tracking), the system tracks a single hand, determines finger states, and sends control signals to an external hardware controller. The project demonstrates an effective integration of computer vision, human–computer interaction, and embedded systems.\r\n\r\nFeatures\r\n\r\nReal-time hand tracking using a standard webcam\r\n\r\nAccurate detection of raised fingers (0–5)\r\n\r\nLive video feedback with finger count overlay\r\n\r\nLED control via Arduino based on detected gestures\r\n\r\nSystem Architecture\r\nWebcam\r\n   ↓\r\nOpenCV + MediaPipe (Hand Tracking)\r\n   ↓\r\nFinger State Detection\r\n   ↓\r\nPython Controller Module\r\n   ↓\r\nArduino Uno\r\n   ↓\r\nLEDs\r\n\r\nHardware Requirements\r\n\r\nArduino Uno - 5 × LEDs - 5 × 220Ω resistors - Breadboard - Jumper wires - USB cable (Arduino ↔ PC) - Webcam (built-in or external) \r\n\r\nConnection Steps:\r\n\r\nConnect each LED’s anode (+) to its corresponding Arduino pin via a 220Ω resistor\r\n\r\nConnect all cathodes (–) to GND\r\n\r\nConnect Arduino to PC via USB\r\n\r\nThe number of LEDs turned ON corresponds to the number of detected raised fingers.\r\n\u003cimg width=\"625\" height=\"676\" alt=\"Schematic_Diagram\" src=\"https://github.com/user-attachments/assets/70240248-84d8-4327-ba12-2dc84e97ea15\" /\u003e\r\n\r\n\r\nSoftware Requirements\r\n\r\nPython 3.8+ - Arduino IDE \r\n\r\nRequired Python libraries: opencv-python - cvzone - mediapipe - pyserial\r\n\r\nUsage\r\n\r\nConnect the Arduino Uno to your computer\r\n\r\nEnsure LEDs are wired correctly\r\n\r\nRun the Python script:\r\n\r\npython main.py\r\n\r\n\r\nHold your hand in front of the webcam\r\n\r\nRaise fingers (0–5)\r\n\r\nLEDs will light up according to finger count\r\n\r\nPress K to exit the application\r\n\r\n\r\n\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdlazeem%2Fhand_gesture_controlled_led","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdlazeem%2Fhand_gesture_controlled_led","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdlazeem%2Fhand_gesture_controlled_led/lists"}