Blippar’s Vehicle Recognition App Uses AI to Identify Car Makes and Models
Ellen Smith — May 27, 2017 — Autos
References: marketwired & techcrunch
Using artificial intelligence and automotive recognition technology, 'Blippar' has designed a car recognition app that can process information quicker than most humans can comprehend.
With just the click of a button, this app can produce the name, make and year of any car manufactured in the U.S, after the year 2000. The visual search technology compares the photo taken to hundreds of millions of photos on the internet, finding the best suited information based on the picture provided.
Taking a photo of a car both moving or stationary will activate the app's database, "at which the technology can recognize the make, model and year of each car is unparalleled not only from a technology standpoint, but is beyond what most humans can identify by sight."
This app is the first example of machine-learning and augmented reality coming together to form the world's first augmented reality browser.
With just the click of a button, this app can produce the name, make and year of any car manufactured in the U.S, after the year 2000. The visual search technology compares the photo taken to hundreds of millions of photos on the internet, finding the best suited information based on the picture provided.
Taking a photo of a car both moving or stationary will activate the app's database, "at which the technology can recognize the make, model and year of each car is unparalleled not only from a technology standpoint, but is beyond what most humans can identify by sight."
This app is the first example of machine-learning and augmented reality coming together to form the world's first augmented reality browser.
Trend Themes
1. Artificial Intelligence in Car Recognition - The use of artificial intelligence in car recognition apps presents opportunities to streamline car identification processes and improve accuracy.
2. Visual Search Technology - The development of visual search technology enables car recognition apps to quickly compare photos and provide accurate information about car makes and models.
3. Machine Learning and Augmented Reality Integration - The integration of machine learning and augmented reality in car recognition apps opens up possibilities for creating innovative augmented reality browsers.
Industry Implications
1. Automotive - Car recognition apps can disrupt the automotive industry by enhancing car identification processes, aiding in inventory management, and enabling personalized car shopping experiences.
2. Technology - The application of artificial intelligence and visual search technology in car recognition apps represents an opportunity for technology companies to innovate and improve user experiences in various industries.
3. Retail - In the retail industry, car recognition apps can be utilized to offer personalized marketing and advertising based on the car make and model identified, enhancing customer targeting and engagement.
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