--- 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 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 --- # Real world search and visual tasks id: phone-camera--family-world-quests type: mechanic key: mechanic/phone-camera--family-world-quests lang: en status: active url: https://gamemechanics.pro/en/knowledge/mechanic/phone-camera--family-world-quests/ Search, capture and recognition form a task. Seek offers wildlife challenges and badges; this screenshot shows a historical challenge from 2020. ## At a glance ![Seek: the historical Citizen Science challenge, April 2020](https://gamemechanics.pro/images/mechanics/camera-seek-5.webp) [Seek by iNaturalist](https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4) · © iNaturalist. Publisher-distributed App Store screenshot; all rights reserved. Excluded from MIT and CC BY 4.0. 1. Start the Challenge begins a species observation task - Offer locally accessible targets and allow recognition errors to be corrected. - [Seek by iNaturalist](https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4) ## How it works 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. ## Variants ### Variants and applications - 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. - 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. - 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. - Order a photo. Action: Perform a combination of theme, composition, moment and constraints. Application: Photographer simulator, creative training, competitive tasks. Technologies: Camera capture. - 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. - 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. - 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. - 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. ## Context and limits 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. ## Connected materials ## Sources and 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. - [MediaPipe Object Detector](https://developers.google.com/edge/mediapipe/solutions/vision/object_detector) (id: source-c571f972753e630a) - [ML Kit Text Recognition v2: supported scripts](https://developers.google.com/ml-kit/vision/text-recognition/v2) (id: source-be3a720631e14f08) - [ARCore Augmented Images](https://developers.google.com/ar/develop/augmented-images) (id: source-334fc4874b474465) - [Seek by iNaturalist](https://apps.apple.com/us/app/seek-by-inaturalist/id1353224144?uo=4) (id: source-0bef16821fee7975) CC-BY-4.0 · gamemechanics.pro contributors