The evolution of mobile app development has created massive hype in recent years. The demand for the app’s requirement has also increased from the user side.The developers must put effort into building unique and efficient mobile apps that yield them well. Technology is the backbone of the mobile apps that connect customers and businesses globally. Computer vision has significantly impacted mobile apps and changed their perspective. Popular IT hubs like mobile app development companies in Chennai or long haul will help enterprises to integrate computer vision into mobile apps.
Every 24 hours a day, seven days a week, we can expect an evolution and advent of tech to take place in mobile apps and related to it. Data shows the global computer vision market will reach over $20.88 billion by 2030. The blog will cover the importance of features, examples, and essential development tools of computer vision mobile apps. Let’s get started!
What Is Computer Vision?
Before knowing the computer visioned mobile apps, it is essential to understand the meaning of computer vision. Computer vision is not science fiction, yet it is a sublet of AI mechanism. It is a broad area where it covers many elements, including face & image recognition, visualizing data, and more.
What Are Computer Vision Mobile Apps?
Integrating computer vision into mobile apps has opened a new gate regarding the revenue for businesses and the interaction of users. A computer vision mobile app will help users by detecting the visual data, interpreting and producing valuable results. The power tool will cover various activities of humans, which helps lead in the digital world.
In recent years, businesses have shown interest in this technology for aiding their workflow, generating revenue, and giving value to customers. If your enterprise wants a reliable service regarding computer vision and its insights, consider partnering with mobile app developers in Chennai.
What Are the Features of Computer Vision Mobile Apps?
The primary use of computer vision is to recognize the data image, document, or more by giving relevant information pertinent to the user’s expectation. Some of the standard features of computer vision are.
Optical Character Recognition
OCR is a standard feature of computer vision apps. It converts images, documents, or more into readable text for users’ convenience. Example: Google Lens.
Facial Recognition
Facial recognition comes under security measures in computer-visioned apps. It helps to detect the face and identify the people’s identity. These recognition systems tend to identify people through images and videos.
Motion Detection
Motion detection is like a guardian angel who helps protect people and alerts you when anything unusual occurs. It mainly covers a video and helps to detect the two frames of scenes to identify the difference.
Code Sensor
Scanning of the barcode or QR code to represent the relevant information regarding the product or service. It mainly helps retail shops scan the product or pay using a QR code. Also, the users can scan the code from a distance and react swiftly.
Steady Footage
To make your video look more stable from giddiness or shakes, then video stabilization is a feature that helps to optimize. It also drastically reduces the quality loss of an image or video to look more sustained.
Object Identification
It is also one of computer vision’s standard and renowned features. The main use of the feature is to recognize the object by taking a photo or video using the AI mechanism. Object recognition features are noticeable in most smartphones and other related mobile apps. It can make it possible to detect objects in specific parameters, and results may differ if users don’t follow its guidelines.
What Are the Examples of Computer Vision Mobile Apps?
Computer vision has opened a new way of innovation gates embedded in mobile apps that assist businesses and users. Mobile app development company in Chennai help enterprises tailor their need to building apps with computer vision technology. The below computer vision mobile apps are Some of the common examples.
- Google Lens – Google Lens is a familiar example of a computer vision app implanted in smartphones to recognize text, information, and more from visual data. It also helps in translating the text into your required languages.
- IKEA Place – IKEA is a famous furniture company that builds an app called IKEA Place. With AI’s help, the app allows users to check whether the furniture fits in their houses before buying it. It also helps to see how it looks in places of your houses.
- Snapchat – Snapchat is a notable social media app that exploits filters using AR technology by face-recognizing and changing your look accordingly.
- Amazon Go – It is a unique app that allows people to purchase their products without standing in queues. The cameras in the stores got fixed by integrating computer vision and deep learning algorithms to detect the product you pick.
Development Tools of Computer Vision Mobile Apps
- OpenCV: It is an open-source computer vision library comprising face recognition, conversion of 3D model images, and more. It gives access to over 2500 algorithms.
- Tensor Flow: Tensor Flow helps build computer vision applications from scratch with the help of ML algorithms. It helps build apps detecting objects and faces using ML.
- Viso Suite: Viso Suite is a famous computer vision no-code platform that helps devise and deploy apps. It consists of more than 10 computer vision models that benefit human activity.
Industries That Get Benefitted Via Computer Vision Apps
Healthcare
Computer vision apps get installed in hospitals to read and detect patient records. The technology is also attached to an MRI scan facility and produces 3D images via AR. It also helps in visual medical data like X-rays gives an effective result. Computer vision has helped in the early detection of certain cancers with ML mechanisms.
Manufacturing
The first enabling of making smart factories can make possible with the initiative of Industry 4.0. It helps automate human activity comprising IOT, computer vision, ML, and more. Computer vision in the production unit by portraying the different angles of the product in 3D resolution. Almost 60% of Tesla’s manufacturing is automated. Also, in the final packing stage, sometimes leaving the damaged package on the customer’s doorstep might lead to a bad review. Computer vision helps remove the impaired box separately and eases the tension in the business.
Traffic Sector
The officers can only occasionally check the traffic conditions and activities. With the enabling of computer vision applications, it is helpful on the roads via traffic signals and cameras to detect unusual activities. Also, with the help of AI trees, pedestrian people and other related objectives on the road can be easily seen to alert drivers. In a car, a camera is fixed with a Computer vision app to check the reverse by preventing it without hitting the back, and also in parking management.
Retail
Users can have a collaborative and easy shopping experience with the help of computer vision apps. Retail business owners will initiate automated checkout to reduce the number of customers standing in line. Also, customers can use a barcode to get relevant data regarding the product and pay using a QR code. Example: Amazon Go
The TrendSetter
Computer Vision mobile apps have clinched for efficiency and productivity. It helps to automate human activity and provides better outcomes. From startups to big giants comes forward to implement the technology to gain revenue and customer value. Computer vision has set a trend that technology evolves, and we can expect more inventions.
