{"id":30420,"date":"2026-01-20T15:51:01","date_gmt":"2026-01-20T15:51:01","guid":{"rendered":"https:\/\/cit.upc.edu\/?post_type=portfolio&p=30420"},"modified":"2026-01-26T13:49:08","modified_gmt":"2026-01-26T13:49:08","slug":"ia-aplicada-a-la-seguretat-en-rocodroms","status":"publish","type":"portfolio","link":"https:\/\/cit.upc.edu\/ca\/portfolio-item\/ia-aplicada-a-la-seguretat-en-rocodroms\/","title":{"rendered":"IA aplicada a la seguretat en roc\u00f2droms"},"content":{"rendered":"\n

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20\/01\/2026<\/p>
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L\u2019inLab FIB de la UPC ha col\u00b7laborat amb Lizcore\u00ae en el desenvolupament d\u2019una prova de concepte basada en intel\u00b7lig\u00e8ncia artificial per millorar la seguretat en l\u2019escalada amb autoassegurador, mitjan\u00e7ant la detecci\u00f3 autom\u00e0tica i precisa de situacions de risc abans d\u2019iniciar la via.<\/h4>
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Els autoasseguradors s\u00f3n dispositius \u00e0mpliament utilitzats als roc\u00f2droms que permeten escalar en solitari: la corda es retreu autom\u00e0ticament durant l\u2019ascens i, en cas de caiguda, el sistema frena i baixa l\u2019escalador de manera controlada. A m\u00e9s, redueixen els errors humans en l\u2019assegurament i faciliten l\u2019entrenament.\u00a0<\/span><\/p>

En aquest context, l\u2019<\/span>inLab FIB de la Universitat Polit\u00e8cnica de Catalunya – BarcelonaTech (UPC) ha desenvolupat per a l\u2019empresa <\/span>Lizcore\u00ae una <\/span>prova de concepte basada en machine learning aplicada als seus <\/span>sistemes d\u2019autoassegurament (autobelay). L\u2019objectiu \u00e9s <\/span>millorar la seguretat abans d\u2019iniciar l\u2019escalada, detectant de manera <\/span>autom\u00e0tica, fiable i precisa possibles situacions de risc que podrien provocar accidents.<\/span><\/p>

El model d\\’IA est\u00e0 integrat en el software del <\/span>Safety Gate de Lizcore, un dispositiu que supervisa autom\u00e0ticament l\\’\u00fas dels autoasseguradors mitjan\u00e7ant t\u00e8cniques d\\’intel\u00b7lig\u00e8ncia artificial i visi\u00f3 per computador. Aquest sistema permet generar alertes en temps real i, gr\u00e0cies a la seva connexi\u00f3 directa amb el software de gesti\u00f3 (<\/span>Lizcore GymOS), els m\u00e1nagers i t\u00e8cnics de les instal\u00b7lacions poden rebre avisos immediats i disposar de dades d\\’\u00fas precises per controlar els manteniments preventius.<\/span><\/p>

Aquest innovador dispositiu\u00a0 comprova de manera autom\u00e0tica:<\/h4>



Control d\u2019acc\u00e9s: Nom\u00e9s els escaladors autoritzats i amb les signatures legals al dia poden activar l\u2019autoassegurador mitjan\u00e7ant la pulsera <\/span>NFC.<\/span>

Verificaci\u00f3 intel\u00b7ligent (IA): Una c\u00e0mera frontal valida la correcta connexi\u00f3 de l\\’arn\u00e8s i el tancament del mosquet\u00f3 al punt ventral abans de permetre l\u2019inici de l\u2019activitat.<\/span>

Seguretat en ruta i rang d\\’acci\u00f3: Una c\u00e0mera superior verifica que l\\’escalador es mantingui dins de la ruta correcta i dins dels marges de seguretat que ofereix la l\u00ednia de l\\’autoassegurador.<\/span>

Control de la zona d\\’aterratge: Una c\u00e0mera frontal realiza la supervisi\u00f3 de l\\’\u00e0rea de caiguda o descens per evitar col\u00b7lisions amb altres persones que puguin estar creuant o situades sota l\\’escalador.<\/span>

Sistema d\u2019alertes multi-canal: Davant de qualsevol anomalia en el funcionament o situaci\u00f3 de perill, s\\’activen avisos ac\u00fastics, lluminosos (LEDs) i notificacions m\u00f2bils immediates al personal del centre.<\/span>



Aquesta capa de seguretat proactiva complementa \u2014no substitueix\u2014 la supervisi\u00f3 humana, aportant una eina tecnol\u00f2gica clau per evitar accidents per distracci\u00f3 o error hum\u00e0.<\/span><\/p>

El sistema implementrats per l\u2019inLab FIB utilitza <\/span>models d\u2019aprenentatge autom\u00e0tic basats en xarxes neuronals convolucionals (CNN), entrenats amb imatges de les c\u00e0meres del Safety Gate. Aquests models permeten:<\/span><\/p>



\u00a0 \u00a0 <\/span>Identificar i localitzar objectes (arnesos, mosquetons, dispositius).<\/span>

\u00a0 \u00a0 <\/span>Recon\u00e8ixer accions i comportaments (connectar-se, iniciar la via, intentar escalar sense assegurar-se).<\/span>

\u00a0 \u00a0 <\/span>Detectar patrons de risc en temps real.<\/span>



La soluci\u00f3 desenvolupada per Lizcore\u00ae amb el suport de l\u2019inLab FIB permet:<\/h4>



\u00a0 \u00a0 <\/span>Reduir accidents causats per error hum\u00e0 mitjan\u00e7ant IA.<\/span>

\u00a0 \u00a0 <\/span>Proporcionar <\/span>alertes i prevenci\u00f3 en temps real.<\/span>

\u00a0 \u00a0 <\/span>Millorar l\u2019experi\u00e8ncia dels escaladors amb m\u00e9s seguretat i confian\u00e7a.<\/span>

\u00a0 \u00a0 <\/span>Oferir <\/span>dades \u00fatils per a la gesti\u00f3 i el manteniment dels roc\u00f2droms.<\/span>

\u00a0 \u00a0 <\/span>Impulsar la <\/span>digitalitzaci\u00f3 i la innovaci\u00f3 tecnol\u00f2gica en el sector de l\u2019escalada <\/span>indoor<\/span>.<\/span>



Lizcore\u00ae \u00e9s una<\/span> \u2018start-up\u2019 tecnol\u00f2gica catalana que aplica <\/span>intel\u00b7lig\u00e8ncia artificial al m\u00f3n de l\u2019escalada indoor per millorar la <\/span>seguretat, l\u2019an\u00e0lisi del rendiment, la gamificacio de l\u2019esport\u00a0 i la gesti\u00f3 dels roc\u00f2droms.<\/span><\/p>
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\"Lizcore_Safety_\"

Tecnologia<\/h5>

Transformaci\u00f3 digital<\/a><\/p>
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Tema<\/h5>

Intel\u00b7lig\u00e8ncia Artificial<\/a><\/p>
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Vols saber m\u00e9s?<\/h5>
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L\u2019inLab FIB de la UPC ha col\u00b7laborat amb Lizcore\u00ae en el desenvolupament d\u2019una prova de concepte basada en intel\u00b7lig\u00e8ncia artificial per millorar la seguretat en l\u2019escalada amb autoassegurador, mitjan\u00e7ant la detecci\u00f3 autom\u00e0tica i precisa de situacions de risc abans d\u2019iniciar la via.<\/p>\n","protected":false},"author":5,"featured_media":30422,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"portfolio-types":[915,221],"class_list":["post-30420","portfolio","type-portfolio","status-publish","has-post-thumbnail","hentry","portfolio-types-ia-ca","portfolio-types-tecnologias-de-las-tic-ca"],"yoast_head":"\nIA aplicada a la seguretat en roc\u00f2droms - CIT UPC<\/title>\n<meta name=\"description\" content=\"L\u2019inLab FIB de la UPC ha col\u00b7laborat amb Lizcore\u00ae en el desenvolupament d\u2019una prova de concepte basada en intel\u00b7lig\u00e8ncia artificial per millorar la seguretat en l\u2019escalada amb autoassegurador, mitjan\u00e7ant la detecci\u00f3 autom\u00e0tica i precisa de situacions de risc abans d\u2019iniciar la via.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cit.upc.edu\/ca\/portfolio-item\/ia-aplicada-a-la-seguretat-en-rocodroms\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IA aplicada a la seguretat en roc\u00f2droms - 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