Image-based navigation occurs when a user takes a photo of their location in a facility and is provided with a navigation path based on where they are at that moment. This method of navigation requires the facility to have a massive database of photos of all rooms within the building acting as landmarks for wayfinding.
With the use of a photo, the algorithm finds the best route for the user’s destination.
It seems it would be relatively easy to implement image-based navigation in a facility since most people have mobile devices with cameras, but this is not the case. There are many different factors that come into play when using an image as a point of reference for wayfinding.
Here are some challenges:
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Image-based navigation is a system utilizing visual images, such as photographs or camera feeds, to determine the position, orientation and movement of a device or object. It enables navigation and localization based on visual information rather than relying solely on external signals or markers.
Image-based navigation has numerous use case examples across various industries and domains. A few examples include indoor navigation, autonomous vehicles, augmented reality, tourism and travel guides, robotics and drones, geolocation and social media, industry and healthcare and surgery.
Image mapping is the process of associating or linking specific areas or regions within an image to specific actions, information, or destinations. It involves defining clickable or interactive regions within an image that, when selected or interacted with, trigger a response or provide additional content. An example of an image map is a map of a city or country where users can click on specific regions or landmarks to obtain more information or navigate to related content. Take for instance an example of an image map of New York City. Suppose there is an image map of New York City showcasing its boroughs: Manhattan, Brooklyn, Queens, The Bronx, and Staten Island. Each borough is represented by a clickable region or hotspot within the image. When a user clicks on a specific borough, they are directed to a page or section providing more details about that particular borough.
When selecting an alternative system for image-based navigation, it's important to consider factors such as accuracy requirements, real-time performance, environmental conditions, cost and the availability of infrastructure or hardware support. Mapsted’s location-based system has a one metre accuracy and needs no external hardware, saving you installation and maintenance costs.
A responsive image map adjusts and scales appropriately to different screen sizes and devices ensuring clickable regions or hotspots within the image remain accessible and usable regardless of the device's display size or orientation.
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Image-based navigation can’t give you what Mapsted’s location-based system can. Let us show you.Book My Demo!