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Gracias a la tecnología de computer vision, las máquinas pueden analizar e interpretar imágenes y videos y extraer sentido e información a partir de ellas.
En los últimos tiempos, debido a su protagonismo extremo, asociamos la inteligencia artificial (IA) más que nada con su rama “generativa”. Sin embargo, otros campos de la IA también están cambiando para siempre el mundo de los negocios. Uno de los más destacados, y sobre el cual nos vamos a concentrar en este artículo, es el de computer vision.
Llamada en español “visión por ordenador”, esta tecnología permite a las máquinas analizar fotos y videos digitales y extraer sentido de ellos. Para lograrlo, combina procesamiento de imágenes, machine learning y analítica avanzada.
Computer vision puede reconocer objetos o rostros, identificar patrones o anomalías, entender imágenes médicas… Las imágenes se convierten así en información accionable para el negocio.
Las soluciones que brinda computer vision
El campo de acción de computer vision es inabarcable. Algunos segmentos destacados son:
Salud
Acelera el diagnóstico y el tratamiento de enfermedades gracias a una eficaz interpretación de estudios como radiografías, tomografías o resonancias. Incluso, combinada con otras ramas de IA y análisis de datos podría mejorar la precisión y la velocidad en el diagnóstico de distintos tipos de cáncer.
Entretenimiento y medios digitales
Gracias a la mirada inteligente de computer vision, es posible crear experiencias más inmersivas. Al analizar los datos e interpretar el contexto, la tecnología puede proponer efectos o situaciones altamente personalizadas y precisas.
Manufactura
Control de calidad: con computer vision es posible encontrar rápidamente defectos o problemas en los productos antes de que se envíen a los clientes finales.
Agronegocios
Con dispositivos específicos es posible monitorear cultivos para anticipar plagas o enfermedades en los terrenos sembrados y tomar medidas correctivas a tiempo, evitando pérdidas o desperdicio.
Seguridad y videovigilancia
Observa y monitorea de manera inteligente la enorme cantidad de cámaras de seguridad que se utilizan en espacios públicos, hogares y empresas. Entre muchos otros ejemplos, puede detectar la presencia de personas en lugares prohibidos. O una acumulación de gente mayor a la que permite un aforo.
Robótica
Máquinas capaces de entender lo que “ven” y llevar a cabo tareas de forma independiente en el mundo real. Desde los vehículos autónomos hasta los asistentes de cirugía a distancia. Y desde las operaciones remotas en minas y campos de petróleo hasta maquinarias autónomas para tareas peligrosas en fábricas.
Computer vision: cómo mejora nuestra vida cotidiana
Una de las aristas más interesantes de las nuevas tecnologías tiene que ver con el impacto real que produce en la calidad de vida de las personas.
En el caso de computer vision, es uno de sus valores más importantes. Más allá de los resultados o las mejoras que pueda ofrecer a las organizaciones de diversas industrias, como vimos en los ejemplos recientes.
Mayores niveles de seguridad en los aeropuertos o una menor probabilidad de fraude bancario gracias a la detección de rostros. Diagnósticos médicos más precisos y veloces. Menores riesgos para los trabajadores de plantas potencialmente peligrosas, ya que muchas de esas tareas pueden completarse con máquinas.
También impacta en la accesibilidad. Por ejemplo, personas con problemas visuales pueden utilizar asistentes que les describan el entorno.
Algunos pocos ejemplos de una cantidad prácticamente infinita: en cada industria, en cada empresa y en cada caso de uso aparecen nuevos impactos positivos de computer vision para la vida cotidiana.
Computer vision y edge: una combinación poderosa
El poder de computer vision se multiplica cuando se la combina con otra tecnología emergente: el edge. Los dispositivos de borde son capaces de procesar los datos allí donde se producen, sin necesidad de que viajen hasta los centros de datos.
Esto tiene múltiples beneficios. Por un lado, acelera el procesamiento: todo se produce en el lugar. Las aplicaciones de computer vision suelen tener como uno de sus requerimientos que la respuesta llegue en tiempo real. De nada sirve que un vehículo autónomo en pleno desplazamiento reciba una instrucción con una demora de varios segundos. O que en un aeropuerto llegue una alerta de seguridad varios minutos después de que la persona denunciada haya atravesado los controles.
Otro beneficio es que incrementa la privacidad y la seguridad de los datos. Al procesarse localmente quedan menos tiempo y en menos superficie expuestos a algún tipo de ataque. Además, no se transmiten por redes públicas.
También se reduce la latencia, lo que significa una mejor experiencia para los usuarios. Y son más eficientes en términos energéticos.
Conclusiones
La tecnología de computer vision, como rama de la IA, tiene un enorme poder disruptivo. Sus múltiples aplicaciones la convierten en una aliada para las organizaciones que necesitan procesar y entender grandes volúmenes de imágenes.
Entre sus beneficios, permite reducir costos, incrementar la productividad, llevar la seguridad a un nuevo nivel y reducir riesgos. Y, fundamentalmente, es una herramienta clave para mejorar la precisión y la velocidad en la toma de decisiones.
¿Tu organización necesita saber cómo obtener provecho del poder de esta tecnología? Nuestro equipo de expertos está esperando tu contacto para comenzar a ayudarte. ¡Agenda tu reunión!
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