What Is Logo Recognition? 5 Best Logo Recognition Tools
Artificial intelligence has bought a significant invention in modern digital marketing with its AI-powered logo recognition. This latest breakthrough has provided brands with an excellent opportunity to identify and detect their online logo activity.
Brands can also seamlessly interact with their consumers with the help of logo recognition technology. Logo recognition technology is a concept generated from image or object recognition technology that uses end-to-end deep learning algorithms within artificial neural networks.
A logo is a brand’s identity that must be unique and easily remembered. Investing in a logo is an essential task for any brand. The cost of having a unique logo might vary based on the complexity, but it is a cost that is separate from the app development cost.
Most top-leading brands, such as McDonald’s, Starbucks, Nike, Ford, BBC, Apple, FedEx, and Shell, are recognised worldwide because of their iconic logo. So, we can see the true worth in this digital world.
Now, think about your logo being copied or counterfeited over the internet. This is where AI-based logo recognition technology comes into play. Logo recognition software can recognise your logo anywhere, whether on social media, networking sites, television, or elsewhere. You can completely take care of your logo with the help of a logo recognition tool.
This blog will discuss all logo recognition – what it is used for and the 5 best logo recognition tools. Let’s begin!
What is logo recognition used for?
Logo recognition software is used in many different ways that are described below:
Brand recognition and monitoring across social media platforms are among the most effective applications of logo recognition technology.
Visual content is king in this digital marketing era, where brand owners can create visual listening to discover essential information and insights for their potential customers.
Many social media monitoring companies can offer different visual listening tools with simple API integration using logo recognition software.
Across 85% of the images on social media do not mention the brand name on the logo design. With the help of a logo recognition tool, brand owners can find images and videos containing their brand’s logo design published on social media platforms without a mention or hashtag from the user.
2 – Obtaining user insights
Gaining valuable insights about your users is one of the great features of logo recognition. YouScan tool can help brand owners better understand the audience’s impressions of their brand.
They can use this information and knowledge to plan, reposition, and enhance their marketing efforts. Moreover, brand owners can understand critical principles in various use cases of their products by their brand’s target audience.
3 – Analysing big-scale events
Suppose you are running a shoe brand and you sponsor your brand for a sports or fashion event; the athletes or models on the ramp show and then feature the logo of your shoes.
Your shoe brand logo appears across different banners and public places. Here your main goal is to increase your brand recognition with the help of a marketing strategy, as it will gain the attention of millions of online users and in-person fans.
Knowing which audience demographics view your logo, what context they’re seeing it, and what engagement the posts with your logo are getting online is vital.
When running a major consumer brand, it’s essential to know where, how, and in what contexts your brand appears in your consumers’ real-life circumstances. Obtaining this kind of information with the help of social media image analysis is much better than market research or focus group surveys.
4 – Counterfeit detection
Logo detection technology is widely used to detect counterfeit or illegitimate activities related to your brand’s logo.
Some people can use your logo to create bootleg products by using your company’s logo. Bootleg products are the copy of the physical appearance of your product.
Besides, people can use your logo to spread false information over social media with inappropriate content. This can lower or damage your brand reputation and create a wrong impression on your customers.
Counterfeit activities such as scams and fraud in your brand can cause great trouble to consumers as they often purchase a fake product in the name of a particular brand. Logo recognition is the best way to detect and differentiate between real and fake brands.
It’s hard to protect your brand’s logo design from being copied or unauthorised if you don’t include text containing your brand’s name.
But with the help of the logo recognition tool, it’s easy to report the fake brand logo and protect it from different nefarious situations.
5 – Identify thought leaders
The logo recognition tool allows those with it to gain a competitive advantage by eliminating the need for explicit advertising.
Incorporating ads into the users’ native feeds by sponsoring famous bloggers’ content will enable you to skip adding branded hashtags or unique campaign trackers.
The AI-powered logo recognition software will track all of the sponsored posts and shares of that post. It will also remove all kinds of negative comments from the post.
Influencers don’t need to mention your brand anywhere in the caption. It will avoid the need for explicit association with paid ads, and brands will only have to track the images of a recognised thought leader.
6 – Enhanced user experience
Users and customers are the tangible assets of the brands, which is why providing a great user experience is crucial. You need to know how your target audience reacts to your brand, what they like about it, and what they dislike.
You don’t need to sort out all these problems since manual logo recognition software will help you know what consumers think about your product or service by detecting social media posts, blog articles, and other brand mentions.
This is also helpful for brands to measure ROI, as a company can measure whether their marketing strategy is bringing any leads.
However, if a brand promotes its product as one thing, and people see it as another, reconsidering the marketing plan could be an ideal option. When the marketing plan is reevaluated or improved, it can ultimately result in increased sales and ROI of the brand.
What are the 5 best logo recognition tools?
Until now, we’ve discovered logo recognition and its uses. So, let’s divine into exploring the top 5 best recognition tools.
1 – Google image recognition
Google launched its image recognition tool in 2014, enabling users to scour the web for all the images that appear similar to those they have uploaded or searched for.
It’s one of the best free-to-use image recognition tools that help search the internet for the logo’s appearance. Almost every brand uses this tool as its very convenient and easy-to-use software.
The Google image recognition tool can search images in various ways, including searching by an image from a website, searching by an image saved on your phone, searching by dragging a picture and searching with a URL. This tool doesn’t offer features like insights and analytics.
For that purpose, Google introduced Google’s Vision AI tool that works on a machine-learning algorithm to help companies and brands understand deep insights about their customers.
Google’s Vision AI is excellent for logo recognition as it can effectively detect logo designs online. Moreover, you can also train your customised image apart from a pre-trained one, which Google sources.
You need to plug in your image sources, and Google Vision will analyse them. With your brand logo design, Google Vision can also detect unwanted content and keep you aware of unsuspicious activities.
2 – Amazon Rekognition
Amazon Rekognition is a cloud-based tool launched in 2016 as a service computer vision platform. It’s an incredible software that automates your image and video analysis with its machine-learning algorithm.
Amazon Rekognition tool can run real-time analysis on millions of images and videos within minutes. The insight provided by this tool on different images is awe-inspiring.
It works similarly to Amazon’s computer vision to analyse images for Prime Photos. It can detect objects, scenes, and faces in images, including logos. The deep learning technology of this tool uses network models to discover thousands of objects and scenes in your photos.
Without the need to build machine learning (ML) models and infrastructure from scratch, users can easily add pre-trained or customisable computer vision APIs to their applications with the help of the Amazon Rekognition tool. Furthermore, it has some fantastic features that comprise:
- Content moderation
- Custom labels
- Celebrity recognition
- Video segment detection
- Text detection
- Content moderation
- Face detection and analysis
- Personal Protective Equipment (PPE) detection
3 – Clarifai
Clarifai is an AI-based company with expertise in computer vision and uses machine learning and deep neural networks to identify and analyse images and videos.
Many brands rely on Clarifai as one of the quickest ways to transform unstructured videos, images, text, and audio data into actionable insights.
Developers, data scientists, government, and enterprises can use Clarifai software. Organisations such as Staples, Photobucket, and Vevo use Clarifai software, as it offers a free API.
The role of Clarifai in image or logo recognition is to automatically generate tags, understand the behaviour patterns of the logo, and let users capture the product's image and search for similar ones over the internet.
Clarifai has different models, such as the general model, demographic model, not safe for work model, text moderation model, image moderation model, and apparel detection model. Moreover, the advanced AI features include:
- Demographic analysis
- Sentiment analysis
- Content moderation
- Predictive analysis
- Full-motion video analysis
- Facial recognition
4 – Visua
Visua is a service built to help brands in social monitoring activities, authentication, security, and protection. It is used for object/scene detection, text detection, visual search, logo detection, and hologram authentication.
It offers SaaS cloud, on-premise, and on-device services. Visua has been utilised by many well-known firms, including eBay, Bloomberg, and Brandwatch.
They use this software to know where and how their logos are used on social media platforms and over other media. It is also used for making content safe with the help of its visual content moderation AI technology.
In addition, it’s ideal for counterfeit detection and phishing detection for platforms & marketplaces. Brands can achieve higher ROI on their marketing efforts with the help of Visua’s patented adaptive learning engine.
5 – IBM Watson visual recognition
IBM is one of the best companies that has come up with some of the top-leading image recognition technology, thanks to their AI, Watson.
Watson visual recognition is an application that can quickly and accurately classify, tag, and search out visual content using machine learning technology.
It can also analyse images for scenes, objects, faces, and other content through the help of a deep learning algorithm. Watson’s visual recognition tool can understand and virtually classify visual content within the image, such as faces, colours, foods, etc.
You can easily create, classify, and train your classifiers with the help of your image collections. Besides, it helps predict personality characteristics with the support of IBM Watson's personality insights.
IBM has broad industry use cases such as retail, education, social eCommerce, manufacturing, insurance, visual auditing, etc.
Logo plays a vital role in building a solid brand identity. Without a logo, branding is incomplete. Logo recognition tools are used to identify your brand’s online appearance.
A better logo means better chances for online exposure. You can use this technology for various purposes discovered in this blog. It helps the brand succeed within the marketplace by using the five best logo recognition tools.
The above-stated logo recognition tools have impressive features based on advanced machine learning, deep learning, and AI algorithms. It can great a significant impact on the brands.
So, we can conclude that logo recognition technology is essential for identifying, recognising, and protecting your logo in today’s competitive marketplace!
Author Bio: Waleed Khan is the director of APPSTIRR (LABSTIRR Corp), a US-based company that provides software solutions and mobile application development and digital marketing services. APPSTIRR holds an extensive portfolio of clients around the world.