Vision processing is the next level of tech advancement that will enhance drone use cases significantly.
FREMONT, CA: Wireless technology has always attracted businesses and individuals alike. Drones are one among the myriads of wireless innovations that are transforming and enhancing the capabilities of various sectors across industries. Vision processing is one of the primary use cases of drones that is encouraging the firms to spend more on technology. Multiple factors such as cost-effectiveness, enhanced performance, and efficient power consumption are enabling the firms to upgrade drones with practical computer vision capabilities.
Vision processing is an essential aspect of embedded technology that offers an enhanced or high definition view for recreational activities, personal usage, and business applications, such as aerial imagery. Vision processing capabilities involve a drone mounted with a high-definition camera for a wide range of purposes, such as capturing aerial footage to creating digital elevation maps. Here are the primary use cases of drones that place them as one of the primary embedded devices.
Autonomous Flight and Obstacle Avoidance
Obstacle avoidance capabilities allow drones to navigate safely without colliding with objects. Drones are being used for various tasks that are either difficult or dangerous for human beings. For instance, drones are used by the firefighters to enter buildings that are inaccessible or pose a significant threat to the firefighters. However, the success of such a mission is directly impacted by the navigation systems of the drone. Such a task cannot be accomplished without the use of collision avoidance systems in the drones. A collision avoidance system uses sensors or radars to track any potential obstacle.
Fixed-wing drones and Quadcopters are vulnerable to terrain mapping challenges. There are several factors, such as power and transportation, that pose initial barriers even before the drone is ready for its journey. Once the drone is ready for take-off, factors such as weather conditions, landing regions, areas' accessibility, and transportation must be addressed too. However, downward-facing image sensors can extract information that can offer a drone with an understanding of the terrain below it with a high precision value.
Drones are rapidly growing in the market, with firms stressing on embedded vision technology for autonomous flight and terrain mapping purposes. With further advancements in technology, embedded drone applications will further add to its popularity and adaptability.
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