PiSrc Aperture is an AI-enabled DAM portal. Gone are the days of scouring through folders looking for the latest version of the hero banner (and finding multiple files named hero-banner, and HeroBanner2, Hero-Banner-final, etc. ...you get the picture). Integrated into your DAM workflow, Aperture labels all your images on upload with tags that describe the contents as well as embedded text. Aperture's AI backed image recognition technology (Quasar) also allows for smart cropping and auto-creation of AEM renditions. With Aperture's built-in gallery viewer, share all those smartly tagged assets with your team or the world.
Aperture supports gallery views of the folders that you configure in AEM, providing non-author users with a clean, browsable interface that can be searched.
The folder slide show allows images within a folder to be navigated in a slideshow format. Additional controls for file download are available.
Aperture's AI engine, Quasar, processes all images as they are added to the DAM, and creates tags based on detected content. Location types, objects in the image, and even emotional sentiment of the assets are detected. Image text is also detected.
Aperture auto-crops images based on pre-defined aspect ratios smartly by using image boundary detection to focus on what's important. Cropped images can then be resized to feed AEM renditions for perfect thumbnails and previews.
The DAM should not be a place where assets go to die. Aperture lets you open up your DAM by creating a gallery from parts of your DAM simply by selecting folder paths. The gallery can then be shared on your corporate intranet, or opened up for wider use.
Aperture integrates the best parts of AEM Assets with tools and workflows that just make sense. Once an image is uploaded into AEM, we provide an AI automation step that can be dragged onto the Upload Asset or other workflow. With some basic configuration into Quasar, these assets are then analyzed to create smart tags, detect text (including serial numbers, SKU codes, and other printed characters), and generate subject boundaries that can smartly auto-crop images for various aspect ratios. These cropped assets can then be stored as renditions to be used on the website, or power the image gallery. Aperture's built-in image gallery can then be used to expose all or parts of the DAM on an image slideshow or an entire image gallery. Enterprise options to detect logos and organization specific products can also be customized through AI model training so that images can be analyzed for company specific purposes.
PiSrc Quasar and Quasar Enterprise leverage artificial intelligence (AI) technology to automatically tag and classify your images in AEM. Quasar relies on a general-purpose AI engine, while Quasar Enterprise empowers you to train the software to recognize the specific features that interest you. The software then uses this Directed Learning (DL) to yield even smarter image tagging, more accurate automatic cropping of interesting features, and automatic creation of AEM renditions.
The Adobe Marketing Cloud is a consistent leader in digital marketing platforms and technology. With its powerful and scalable stack, AEM enables organizations to build strong digital foundations that scale and allow for further innovation with personalization, machine learning and AI. PiSrc has a team of certified AEM architects and developers that focus on the Experience Platform, Target, Analytics, Campaign, Magento, Marketo and Assets.
As Adobe Partners, we help organizations through strategy, remediation, implementation and support.
Our architects and developers are Adobe Certified Experts with real working knowledge of the platform's strengths and weaknesses. We deliver fast and intuitive implementations that actually work. We specialize in creating bespoke user experiences that go beyond traditional segmentation to target behaviors at an individual level.
Interested in a solution that is wicked fast, CDN compatible, SEO friendly, and immune to ad blocking technology? Reach out to learn more about what is possible, and ask us about our past projects today.
