Object recognition algorithm
Artificial Intelligence – AI is a global technology trend, attracting the attention of businesses in applying it to production, business and business management processes. In which, object recognition is one of the important areas of AI analysis algorithms.
With the ability to identify objects and people in real time accurately and with high reliability, this solution becomes an important and essential tool for businesses and organizations that want to lead the industry.
Object recognition is a computer vision technique that allows enterprise surveillance systems to detect and identify objects in digital images or video footage by applying AI analytics platforms such as deep learning, machine learning, etc. The main task of object recognition technology is to determine the location, size of one or more objects and then assign a class label to explain what the object is. This algorithm consists of two main techniques: object classification and object localization.
- Object classification: Is the process of labeling and classifying images into specific objects based on predefined rules to interpret the content of the image. For example, an image of a dog would be classified as “dog”, while an image of a backpack would be classified as “backpack”, etc. Object classification is based on the use of Deep learning models to analyze and classify images based on the visual characteristics of the object.
- Object localization: Helps determine the exact location and size of an object in an image or a scene. The object will be identified within a bounding box and labeled with a class to make it easier for the system to detect.
Object recognition technology is capable of detecting objects in many different fields, from security surveillance, healthcare to retail, etc. Some common applications are as follows:
- Security and surveillance: Object recognition is used to detect dangerous objects such as weapons, drugs, explosives, etc. and immediately alert the authorities. In addition, the solution helps to search for objects, track and determine travel routes to serve search and investigation work.
- Medical: Object recognition is a powerful support solution in monitoring operating rooms, detecting medical instruments and medical products during surgery. Thereby, ensuring safety and accuracy during treatment.
- Traffic: Identifying and classifying means of transport on the road such as: cars, motorbikes, bicycles, buses, etc. helps the traffic system automatically make decisions and regulate traffic more effectively.
- Retail: This technology is applied by many stores and supermarkets to collect customer information such as gender, age, etc., helping businesses build specific marketing or business campaigns and reach customers more easily.
DNG Corp’s Object Recognition Solution
Continuously developing and striving to bring customers smart, modern technology solutions to serve the needs of improving the business’s surveillance system. DNG Corp’s object recognition solution includes the following features:
- Recognize people by their characteristics: gender, clothing color, glasses, hats, etc.
- Recognize means of transport such as cars, motorbikes, bicycles by their characteristics: color, vehicle type, vehicle brand, model.
- Recognize animals: birds, dogs, cats, horses, etc.
- Recognize objects: backpacks, handbags, phones, laptops, etc.
With the advantage of being an authorized dealer and distributor of technology companies specializing in developing globally famous AI platforms such as: Senturian, VCA Technology, FaceMe, AIRA, Vaxtor, Hikvision, Dahua, IronYun,… DNG Corp is definitely a reliable partner providing AI Platform solutions for businesses in the most professional and comprehensive way.
Để biết thêm thông tin và được tư vấn chi tiết nhất về thuật toán nhận diện đối tượng, vui lòng liên hệ với DNG Corp qua Phone: 0989 595 633 (Mr Cris/ Tùng. Nguyễn – Brand Manager of Network Optix & AI Division) hoặc Email: tung.nguyen@dngcorp.vn.