The Image Recognition Technology Is, Usually, Associated with an Array of Security and Surveillance-Related Uses and the Rapidly Developing Autonomous Vehicle Niche. Can Image Recognition Apps Help Businesses in Other Verticals? With Reuters' predictions for the not-so-far-off year of 2022 being in the region of a hefty $43-57 billion, Image Recognition is one big lure for AI outfits, and, simultaneously, a lot of hope for businesses and organizations that depend upon it for their survival and success. These include entities as diverse, as manufacturers of autonomous cars and security systems, national nature parks, border security forces, and companies that produce drones. Be it monitoring the state of a much cherished rainforest or sending drones to remote oil rigs to check if all one's assets are in one piece, almost all of the widely known uses of Image Recognition seem to be related to security and surveillance.
The increasing speed of unpredictable and chaotic events collapses the tactical decision space for military commanders and first responders. Forward sensor fusion with edge-based processing accelerates recognitional decision making by widening the decision-maker's aperture to a greater number of sensor inputs and a wider array of sensor types. Cognitive computing tools compare signals to patterns to automate decision cues and open the door to meta-cognition, discovery of new patterns, and continuous improvement of decision models. The new BlueforceEDGE Image Recognition Plugin enhance's real-time recognition and speed of decision for operators and fixed and mobile command nodes by recognizing persons of interest as well as object recognition. BlueforceEDGE V3 ("EDGE") software delivers an extensible autonomous agent software platform that enables sensors from multiple manufacturers to be fused into a secure and interoperable stream of data enabling a single pane of glass view of your entire mission space.
Our brains are wired in a way that they can differentiate between objects, both living and non-living by simply looking at them. In fact, the recognition of objects and a situation through visualization is the fastest way to gather, as well as to relate information. This becomes a pretty big deal for computers where a vast amount of data has to be stuffed into it, before the computer can perform an operation on its own. Ironically, with each passing day, it is becoming essential for machines to identify objects through facial recognition, so that humans can take the next big step towards a more scientifically advanced social mechanism. So, what progress have we really made in that respect?