{"id":15163351,"url":"https://github.com/sam-sponcy/pollusound","last_synced_at":"2026-01-22T18:03:18.640Z","repository":{"id":247567108,"uuid":"825750396","full_name":"Sam-Sponcy/Pollusound","owner":"Sam-Sponcy","description":"The project involves serial communication with an SARA R410M module using AT commands to configure an LTE-M connection (4G). It resolves a domain name to an IP address, sends MQTT messages to report status and detections from BirdNET, and verifies connectivity to both the network and MQTT server.","archived":false,"fork":false,"pushed_at":"2024-07-12T12:01:36.000Z","size":53059,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-08T09:51:26.735Z","etag":null,"topics":["at","birdnet-pi","mqtt","r410m","sara"],"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/Sam-Sponcy.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}},"created_at":"2024-07-08T12:26:28.000Z","updated_at":"2024-07-12T12:01:40.000Z","dependencies_parsed_at":"2024-07-12T12:03:15.188Z","dependency_job_id":null,"html_url":"https://github.com/Sam-Sponcy/Pollusound","commit_stats":{"total_commits":20,"total_committers":1,"mean_commits":20.0,"dds":0.0,"last_synced_commit":"6bc3a95755cae1eace5fb645c4f995ef284164e6"},"previous_names":["sam-sponcy/pollusound"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam-Sponcy%2FPollusound","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam-Sponcy%2FPollusound/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam-Sponcy%2FPollusound/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Sam-Sponcy%2FPollusound/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Sam-Sponcy","download_url":"https://codeload.github.com/Sam-Sponcy/Pollusound/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247819947,"owners_count":21001394,"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":["at","birdnet-pi","mqtt","r410m","sara"],"created_at":"2024-09-27T02:23:52.398Z","updated_at":"2026-01-22T18:03:18.581Z","avatar_url":"https://github.com/Sam-Sponcy.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"FR  - But du projet Pollusound\n  \nLe but est d'analyser les sons dans la ville de Bruxelles. Pour cela, nous utiliserons une carte LTE-M RAPID dev Kit Orange.\n\n- BirdNET-Analyzer\nNous utiliserons l'IA de BirdNet afin de proposer une solution simple et abordable d'une IA de type CNN qui utilise le traitement d'image pour reconnaître un son.\nhttps://github.com/mcguirepr89/BirdNET-Pi\n\nCette IA fonctionne sur un Raspberry Pi 4B. Celle-ci est fortement recommandée dans le dépôt (https://github.com/mcguirepr89/BirdNET-Pi).\n\nAttention ! Il faut utiliser comme image dans le Raspberry le \"Raspberry Pi OS Legacy 64 bits Bullseye\" et non la version Bookworm.\n\n- Carte Sodaq\n\nTutoriel ici : https://docs.allthingstalk.com/examples/hardware/get-started-sodaq-sara/\n\nNous utiliserons la carte \"SODAQ SARA AFF REV 3\" avec le code \"nbIOT_serial_passthrough\". Ce code assure la communication entre le Raspberry et le module SARA-R410M via une liaison série.\n\n- main.py : Ce fichier permet de paramétrer le module SARA-R410M afin d'assurer la connexion au réseau cellulaire, au serveur MQTT et d'envoyer les détections de sons.\n\n- service.txt : mise en place d'un service au demarrage\n\n- birdnet_to_mqtt.py : Ce fichier permet de vérifier les logs du fichier '/var/log/syslog' afin de récupérer les données des oiseaux détectés par BirdNet. Ce code est une version modifiée de celui disponible sur (git: deepcoder / birdnet_to_mqtt.py). (https://gist.github.com/deepcoder/c309087c456fc733435b47d83f4113ff#file-birdnet_to_mqtt-py)\n\n![IMG_9250](https://github.com/Sam-Sponcy/Pollusound/assets/93118296/6469fca2-1e9e-4780-93bb-df54abe5041c)\nlien boite : https://www.thingiverse.com/thing:3338826\n\nMicro suggéré : https://github.com/mcguirepr89/BirdNET-Pi/discussions/39\n\nEN  - Goal of the Pollusound Project\n  \nThe goal of the Pollusound project is to analyze sounds in the city of Brussels. For this, we will use an Orange LTE-M RAPID dev Kit.\n\n- BirdNET-Analyzer\nWe will use BirdNet AI to provide a simple and affordable solution of a CNN-type AI that uses image processing to recognize a sound.\n\nThis AI runs on a Raspberry Pi 4B. This setup is highly recommended in the repository (https://github.com/mcguirepr89/BirdNET-Pi).\n\nAttention! Use the \"Raspberry Pi OS Legacy 64 bits Bullseye\" as the image for the Raspberry, not the Bookworm version.\n\n- Sodaq Board\n\nTutorial here: https://docs.allthingstalk.com/examples/hardware/get-started-sodaq-sara/\n\nWe will use the \"SODAQ SARA AFF REV 3\" board with the provided code \"nbIOT_serial_passthrough\". This code ensures communication between the Raspberry and the SARA-R410M module via serial connection.\n\n- main.py: This file configures the SARA-R410M module to ensure connection to the cellular network, the MQTT server, and to send sound detections.\n\n- birdnet_to_mqtt.py: This file checks the logs in '/var/log/syslog' to retrieve the data of birds detected by BirdNet. This code is a modified version of the one available at (git: deepcoder / birdnet_to_mqtt.py). (https://gist.github.com/deepcoder/c309087c456fc733435b47d83f4113ff#file-birdnet_to_mqtt-py)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsam-sponcy%2Fpollusound","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsam-sponcy%2Fpollusound","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsam-sponcy%2Fpollusound/lists"}