{"schemaVersion":1,"record":{"key":"mechanic/phone-camera--family-world-quests","type":"mechanic","id":"phone-camera--family-world-quests","lang":"en","title":"Real world search and visual tasks","summary":"Search, capture and recognition form a task. Seek offers wildlife challenges and badges; this screenshot shows a historical challenge from 2020.","updatedAt":"2026-10-22","status":"active","url":"https://gamemechanics.pro/en/knowledge/mechanic/phone-camera--family-world-quests/","jsonUrl":"https://gamemechanics.pro/api/v1/knowledge/en/mechanic/phone-camera--family-world-quests.json","markdownUrl":"https://gamemechanics.pro/content/knowledge/en/mechanic/phone-camera--family-world-quests.md","aliases":["World search and visual tasks"],"tags":["Phone camera interactions","Mechanics catalog"],"sourceIds":["source-c571f972753e630a","source-be3a720631e14f08","source-334fc4874b474465","source-0bef16821fee7975"],"sources":[{"id":"source-c571f972753e630a","title":"MediaPipe Object Detector","url":"https://developers.google.com/edge/mediapipe/solutions/vision/object_detector","verifiedAt":null},{"id":"source-be3a720631e14f08","title":"ML Kit Text Recognition v2: supported scripts","url":"https://developers.google.com/ml-kit/vision/text-recognition/v2","verifiedAt":null},{"id":"source-334fc4874b474465","title":"ARCore Augmented Images","url":"https://developers.google.com/ar/develop/augmented-images","verifiedAt":null},{"id":"source-0bef16821fee7975","title":"Seek by iNaturalist","url":"https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4","verifiedAt":null}],"sections":[{"id":"principle","title":"How it works","body":"Chamber actions are included in full game cycles. These are the component mechanics: search plus capture, recognition and progression. Assignments must take into account the available environment; recognition allows for error and human confirmation."},{"id":"variants","title":"Variants","body":"### Variants and applications\n\n\n\n- Photo hunt according to the list. Action: Consistently remove suitable objects and close the task points. Application: City quest, vocabulary training, children's expedition. Technologies: Recognition or machine learning model. \n- Visual bestiary. Action: Open collection records based on images of a permitted set of objects. Application: Toy catalog, nature study, collectible game. Technologies: Recognition or machine learning model; Own algorithm. \n- Evidence with conditions. Action: Fix the desired object with the desired detail or in the desired state. Application: Detective, reporter quest, investigative training. Technologies: Recognition or machine learning model; Own algorithm. \n- Order a photo. Action: Perform a combination of theme, composition, moment and constraints. Application: Photographer simulator, creative training, competitive tasks. Technologies: Camera capture. \n- Environment as resources. Action: Use visual attributes of found things to obtain game materials. Application: Urban crafting, walking game, resource puzzle. Technologies: Recognition or machine learning model. \n- Real action changes the world. Action: Change the physical scene, after which the digital system updates the state. Application: Sorting on a table, building a shelter for a virtual creature, puzzle. Technologies: Recognition or machine learning model; Own algorithm. \n- Route according to visual landmarks. Action: Find a sequence of familiar images or prepared objects. Application: Museum quest, navigation riddle, thematic excursion. Technologies: Markers; Recognition or machine learning model. \n- Mission from the local scene. Action: Suggest a task from what the system actually detected around. Application: Adaptive scavenger hunt, everyday learning, game without fixed props. Technologies: Recognition or machine learning model; Own algorithm. "},{"id":"context","title":"Context and limits","body":"Games, learning, creativity and interactive applications. Author's systematization of game rules based on proven technical capabilities. Examples are application ideas and not statements of released products."}],"relations":[],"placements":[{"catalogId":"phone-camera","id":"family-world-quests","title":"Phone camera interactions","url":"https://gamemechanics.pro/en/mechanics/phone-camera/#family-world-quests","categoryIds":["section-1"]}],"supersededBy":[],"attributes":{"preview":{"updatedAt":"2026-10-22","title":"World search and visual tasks","description":"Search, capture and recognition form a task. Seek offers wildlife challenges and badges; this screenshot shows a historical challenge from 2020.","image":{"src":"images/mechanics/camera-seek-5.webp","width":720,"height":1280,"crop":{"x":40,"y":290,"width":640,"height":990},"game":"Seek by iNaturalist","sourceUrl":"https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4","originalUrl":"https://is1-ssl.mzstatic.com/image/thumb/Purple114/v4/14/f1/c0/14f1c099-353b-318b-b0ae-782d68f8fc50/pr_source.png/720x1560bb.jpg","credit":"iNaturalist","rights":"© iNaturalist. Publisher-distributed App Store screenshot; all rights reserved. Excluded from MIT and CC BY 4.0.","caption":"Seek: the historical Citizen Science challenge, April 2020","alt":"Seek: the historical Citizen Science challenge, April 2020","markers":[{"x":51,"y":75,"label":"Start the Challenge begins a species observation task"}]},"tips":["Offer locally accessible targets and allow recognition errors to be corrected."],"examples":[{"title":"Seek by iNaturalist","url":"https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4"}]}},"endsAt":null,"provenance":"Original editorial design catalog consolidated from project discussions on 2026-10-20. Complete discussion item lists and contextual limitations are preserved; linked primary sources support specific techniques, not the entire classification. English translation was prepared with machine assistance and editorial review.","license":"CC-BY-4.0","codeLicense":"MIT","attribution":"gamemechanics.pro contributors","catalogKey":"catalog/phone-camera"}}