{"schemaVersion":1,"record":{"key":"mechanic/phone-camera--family-objects","type":"mechanic","id":"phone-camera--family-objects","lang":"en","title":"Objects, signs and relationships","summary":"The camera recognizes supported object classes. Seeing AI has a dedicated currency mode; it does not identify every object or material.","updatedAt":"2026-10-22","status":"active","url":"https://gamemechanics.pro/en/knowledge/mechanic/phone-camera--family-objects/","jsonUrl":"https://gamemechanics.pro/api/v1/knowledge/en/mechanic/phone-camera--family-objects.json","markdownUrl":"https://gamemechanics.pro/content/knowledge/en/mechanic/phone-camera--family-objects.md","aliases":[],"tags":["Phone camera interactions","Mechanics catalog"],"sourceIds":["source-c571f972753e630a","source-334fc4874b474465","source-5cd7e7e00e5de5a7"],"sources":[{"id":"source-c571f972753e630a","title":"MediaPipe Object Detector","url":"https://developers.google.com/edge/mediapipe/solutions/vision/object_detector","verifiedAt":null},{"id":"source-334fc4874b474465","title":"ARCore Augmented Images","url":"https://developers.google.com/ar/develop/augmented-images","verifiedAt":null},{"id":"source-5cd7e7e00e5de5a7","title":"Seeing AI","url":"https://apps.apple.com/us/app/seeing-ai/id999062298?uo=4","verifiedAt":null}],"sections":[{"id":"principle","title":"How it works","body":"Real things become input to the rules. The finished detector recognizes its classes. Recognizing a specific toy, material or condition usually requires a separate model and testing on real scenes."},{"id":"variants","title":"Variants","body":"### Variants and applications\n\n<a id=\"family-objects-variants\"></a>\n\n- Item category. Action: Show an object of the desired class; the game accepts it as an answer. Application: Scavenger hunt, dictionary, resource search. Technologies: Recognition or machine learning model. <a id=\"variant-cam-049\"></a>\n- Specific instance. Action: Show a pre-registered item or its visual label. Application: Personal artifact, level key, collectible toy. Technologies: Recognition or machine learning model; Own algorithm. <a id=\"variant-cam-050\"></a>\n- Counting objects. Action: Display a specified number of visible items of one or more classes. Application: Arithmetic, order picking, visual inventory. Technologies: Recognition or machine learning model. <a id=\"variant-cam-051\"></a>\n- Geometric shape. Action: Find a circle, triangle, symmetrical or elongated object. Application: Teaching geometry, collecting parts, visual classification. Technologies: Image analysis. <a id=\"variant-cam-052\"></a>\n- Material or texture. Action: Show a surface from a limited trained set. Application: Texture catalog, artistic search, conditional crafting resources. Technologies: Recognition or machine learning model; Own algorithm. <a id=\"variant-cam-053\"></a>\n- Visual condition. Action: Translate a familiar object between distinguishable states. Application: Open box as a switch, model assembly, checking a task step. Technologies: Recognition or machine learning model; Own algorithm. <a id=\"variant-cam-054\"></a>\n- Spatial relationship in the frame. Action: Place one object above, inside a contour or next to another. Application: Visual recipes, teaching prepositions, compositional riddles. Technologies: Image analysis; Recognition or machine learning model. <a id=\"variant-cam-055\"></a>\n- Comparison with a sample. Action: Find a thing or image similar to the standard according to the selected criterion. Application: Matching a pair, searching for differences, visual memory. Technologies: Image analysis; Recognition or machine learning model. <a id=\"variant-cam-056\"></a>"},{"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-objects","title":"Phone camera interactions","url":"https://gamemechanics.pro/en/mechanics/phone-camera/#family-objects","categoryIds":["section-1"]}],"supersededBy":[],"attributes":{"preview":{"updatedAt":"2026-10-22","title":"Objects, signs and relationships","description":"The camera recognizes supported object classes. Seeing AI has a dedicated currency mode; it does not identify every object or material.","image":{"src":"images/mechanics/input-seeing-ai-3.webp","width":720,"height":1280,"crop":{"x":90,"y":280,"width":540,"height":940},"game":"Seeing AI","sourceUrl":"https://apps.apple.com/us/app/seeing-ai/id999062298?uo=4","originalUrl":"https://is1-ssl.mzstatic.com/image/thumb/PurpleSource221/v4/ee/e4/23/eee42313-d4c2-2728-6052-cda58984e9e4/dc602422-f4bb-4b6a-a7cb-e8a578e7b5d0_iPhone8_Currency-en.jpg/720x1560bb.jpg","credit":"Microsoft Corporation","rights":"Imagery © Microsoft Corporation. Developer-distributed screenshot or frame; all rights reserved. Excluded from MIT and CC BY 4.0.","caption":"Seeing AI: a dedicated currency recognition mode","alt":"Seeing AI: a dedicated currency recognition mode","markers":[{"x":50,"y":55,"label":"A banknote is in view in Currency mode"}]},"tips":["Limit supported classes and allow confirmation of uncertain results."],"examples":[{"title":"Seeing AI","url":"https://apps.apple.com/us/app/seeing-ai/id999062298?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"}}