Daniel Kish is a blind man who uses echolocation method (like bats) for recognizing the surrounding and what’s fascinating is— he walks, he rides a bike, and he does everything without any human support like all of us.
The process of recognition is similar— gathering the raw data, sending it to the brain, and converting it into the expected output.
Had we talked about image processing and recognition by the objects ten years ago, we would’ve dismissed the talks in disbelief— just as we disbelieve the reality of Daniel Kish.
But today, we’ve learned that software is a software until we add senses to it.
Adding senses to the software classifies one of the recent and most studied computer branches which we better term as artificial intelligence.
The technology has given eyes to the system and has handed over the ability to map and recognize the objects.
In the past few years, we have seen some of the remarkable advancements in the image recognition section— be it automated face recognition by Facebook or Uber’s driverless car which identifies the moving objects, people, path, vehicles, etc.
It brings us close to discussing a few brilliant applications for enhancing image recognition.
Food, beverages, and image recognition
Image recognition apps impart a considerable potential on the food and drink industries.
Tracking the meal, counting the calories, getting the exact number of nutrients, finding the recipe just by capturing, and sending the image gives a magnificent start to the image recognition in the said industry.
Let’s check some of the applications which make the food-related task very easy.
Foodzilla: Take a snap of your meal and the application immediately identifies the components and counts the calories. It also permits you to determine the nutritional value such as protein, fats, carbs, minerals, and vitamins.
Calorie Mama AI: It’s one of the most recognized applications which again works by snapping the picture of the meal and determining the nutritional value in it. It’s a boon for the users who want to jot down their dietary intakes. The application logs each amount in the system automatically stashing plenty of time for you.
Vivino: It’s a wine application trusted by more than 31 million users. It’s working algorithm is simple— snap the label of the wine, get important details such as wine name, purchasing place, ratings, feedback, etc. The application logs the wine label, and you can skim the database without stressing your memory.
Other applications like im2calories by Google and Cheat Day are set to ablaze the industry by their unique identifying expertise.
Languages and photo recognition
Well, there are a lot of online interpreters which convert text or speech into other languages. But that has certain limitations.
Let’s say you are in a foreign land and don’t have the slightest idea about the local language.
You can’t read the signboards, you can’t pronounce in the right accent.
It’s practically impossible to input the text on Google from the outer world. That’s where photo translators come to the rescue.
Let’s go through some of the applications which easily interpret languages— that’s by snapping the images.
Microsoft Translator: Their sobriquet fits succinctly— “let the phone do the talking.” You can read the welcome board; you can decode the highway marker, you can explore cultures by merely pointing out the camera. Microsoft language translator does everything in 60 different languages— yank out your phone, snap the language board, and become a melting pot in the local culture.
Camera Translator All 2017: It’s an application which empowers you to convert the image into text, and its USP is— it works offline. Now, don’t bother about your meal. Order and munch your favorite food item by placing the camera in front of the menu.
Photo Translator: Among the plethora of image translators, Photo Translator has cemented particular space for language interpretation— thus called as the Swiss Army Knife of the translators. The application corners all the human-error and converts original phrases into more precise outputs.
Other applications like Translate: Ultimate Translator and Waygo convert some of the most difficult languages on the face of the earth such as Mandarin, Japanese, and Korean just by putting phone's camera over them.
Healthcare and image recognition
As the suffering in the world bloats, every second matter.
In the medical urgency, we never check the pills and induce them in the circulatory system.
Over 3 million people face the wrath of the wrong medication and suffer side-adversaries or even deaths.
Let’s examine some of the image recognition applications which give you the life-saving edge.
IDMyPill: Are you confused by the overwhelming number of pills you take? Did you find a mysterious tablet in your house? Do you fear the wrong allocation of prescription? This application sweeps away your stress by facilitating you to take the snap of your dosage and inform you about drug information, the brand name of the pill, alternative medication, manufacturer, and corollary problems caused by the drug abuse. You can compare the prescription list with the information to check whether you are administering the right medication.
AiCure: As we know that specific illness changes the shape of the body and face of the person, face recognition opens leeway for doctors who can compare the facial distortion with the data stored in the database and apply precise diagnosis and medication. Aicure application is one of those applications which capture minute visual details and brief about the meaningful insight into patient health.
Face2Gene: It’s an application designed for healthcare professionals. It’s used for patient evaluation by deep phenotyping and determining and detecting chronic traits. It also reveals certain genetic disorders as it compares two different individuals— new patient’s face with the existing syndrome holder. The comparison works as a referencing tool for clinicians, and they get a detailed understanding of diagnosing the disease and curating perfect medical escape from it.
Other applications like Orcam MyEyeis are blending the mixture of medicinal healthcare with the technology.
Search and image recognition
Image recognition has helped search for quite some time now.
Different search engines and applications are resorting to photo recognition search because it’s the need of the hour.
We can post an unknown location image on the application and get the complete physical location of the place.
Let’s evaluate some of the applications which have eased searching.
Google Goggles: It’s one of the better known visual inquiry engines which prefer photo input over watchwords. Take the snap of an object, place, animal, etc. and let Google calculate what you are visualizing. What does it do? It takes away the pain of typing on the search bar or typing something which you can’t describe.
CamFind: It’s a flexible tool which can be deployed on several fronts for searching the details. Take a snap, upload it into the system, get all the related details of the image. It’s one of the simplest applications for gathering information about everything around.
PictPics: It’s another beautiful application which uses reverse image technique for searches. It has got a catchy user-interface. It uses Google image search, but instead of landing you on Google’s webpage, it displays the result on its dashboard. You can use it as a filter funnel. It grants you the opportunity to filter the image based on several attributes like color, size, time, and format.
While PictPics is an android based application, few applications like Veracity are specially built for iOS. The value of image search engines enhances only when these applications are developed to support cross-platform operation.
E-commerce and image recognition
E-commerce gurus always emphasize for “reducing the purchase funnel” for higher conversion.
We can call image recognition as one of the latest course of events which is set to change the dynamics of shopping.
Let’s assess few applications which shorten the purchase path and maximize the conversion rate.
eBay image search: Found something that intrigued you? Want to own that shoe but feel bored and horrified to search through 1.1 billion catalog products? eBay image recognition makes your shopping experience simpler and shrinks your text-based search dependency. Take a snap of the personality you like, crop the image to specify what you are looking for, and reach out to the visually nearest results.
Amazon image search (Flow): For a company with such a gigantic inventory, it’s always difficult for them to dwindle the purchase process for their customers. As a result, there’s a massive bounce rate. But with the latest image recognition application by Amazon, a customer can visually search the items they are looking. The newest version of flow also supports business card scanning. The history detail in the application allows you to check all the scanned products and incorporate sharing faculty with your friends and acquaintances.
ScreenShop: Do the influencers appeal you on Facebook or Instagram? Do you want a similar outfit as that of your favorite star? ScreenShop fulfills your desire by simplifying the image search for you. Take the screenshot of any photo or the video sequence, and add it to ScreenShop. It’s neural and visual mechanism will display you the similarly looking products. You can go through history, save the item, and share the details with others.
Nature and image recognition
I love how Emile Hirsch (portraying Christopher McCandless) in the movie “Into the Wild” explores the nature in solitude.
However, the story finishes with a sad end where Emile eats wild leaves and roots in a desperate act leaving him dead eventually.
Had he known about the seldom cruel nature of mother earth, he would have carried nature recognizing application.
Let’s look at how nature-based image recognition could have helped Emile.
Leafsnap: It’s an application rich in flora-database. It licenses you to take the snap of any leaves and search the relevant details of the particular breed. All the environment lovers, florists, gardeners, and travelers like Emile can gather vital data about nature and serve their purpose.
PlantSnap: Akin to Leafsnap, PlatSnap recognizes 90% of the of species and displays crucial data regarding them. It’s one of the most expensive flora checker applications.
NatureGate: The determining process of NatureGate is pretty unusual and different from the above two. You can specify the characteristics like the number of petals, color, habitat, etc. and shrink down the search result. It also gives a thumbs up for segregating the myriad breed of fishes, butterflies, and birds.
Apart from identifying the nature, applications such as Flower Checker, create an interactive channel between the certified botanists and users. A user can “pluck out” customized details.
This is the end
As Jim Morrison sings “This is the end, my beautiful friend”— yes, it’s an end of this write-up but just the beginning of an image recognition culture.
As time progresses, we’d see more specific use cases of image recognition getting mounted on more number of applications.
We hope that this article strongly attracts you towards the wonder of image recognition and AI-powered applications.
The mentioned used cases are just the samples— drop us the use cases you know and let’s know about how they’ve improved your lifestyle.