- 5 min read
- Aug 1, 2024
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Object Detection is fundamentally a solution in computer vision for locating and identifying objects in a given image. Having the capability to comprehend a varied range of objects, it can identify suspicious objects within a premises. Object detection algorithms harness complex machine learning algorithms to analyse image data. Owing to its major functionalities and features, object detection has major applications comprising security detection systems, medical imaging, and smart detection cars. In this blog post, we will discuss the object detection system, use cases and all the practical applications.
To have a proper understanding of object detection, we have to first comprehend diverse aspects of AI-enabled object detection.
What exactly is object detection powered by AI?
Object detection is considered a computer’s potential to recognise and localise an object in a video stream or image. It works from the perspective of humans and is trained with the knowledge of entities within their frame of reference.
How does object detection work & how is it useful?
Object detection harnesses advanced technology like AI for recognizing subjects in the video or image data. Deep learning and machine learning algorithms are the two primary aspects of artificial intelligence. The process involves huge amounts of data in the form of image or video frames that are fed to a training model to teach AI how exactly an object looks like. This makes it easier for the AI technology to comprehend a new object by the already trained old object’s appearance.
Leveraging computer vision technology, it identifies objects seamlessly in live video feeds and generates actionable insights. It has several real-life applications consolidated with computer vision capabilities, real-time monitoring, image captioning, segmentation, behaviour analysis, number-plate recognition & tracking to become seamless.
Applications of object detection across industries
Defect detection in manufacturing units
For different manufacturing units, it is important to maintain precision and accuracy. Here object detection plays a major role in recognizing machine parts and finished goods of low quality or defective. Object detection systems driven by Computer Vision AI serve as a relevant factor in recognizing damaged products prior to their shipping.
PPE detection
Over the years, it has come to the latest statistics that more than 75% of unwanted accidents are accounted for in manufacturing industries and industrial units. Safety measures are extremely crucial and certain rules should be implemented across workplaces to avoid accidents. Advanced technologies like object detection AI have proved beneficial in detecting PPE wearables across manufacturing facilities. It is capable of detecting goggles, vests, safety wears and face masks. Any absence of safety wear can lead to emergency notifications to the security personnel.
Applications across smart cities
Traffic monitoring
Object detection is one of the catalysts in real-time monitoring across smart cities. From administering real-time data to managing overcrowded areas, traffic levels and potential hazards, AI video analytics software has proved influential in shaping smart cities on the go.
Parking management
As more buildings and cities are embracing modern technologies, vehicle facilities are streamlining their operations with AI. Object detection software can be harnessed to recognize open parking spaces in city lots and parking garages. Delivering information in real-time, it alerts drivers of parking availability seamlessly.
People counting
Retail stores and shopping malls find visitor count AI extremely useful. Real-time tracking of the total number of visitors to retail shops, events and public attractions can result in efficient public safety. Object detection technology can be integrated into security cameras across transits to count the number of vehicles and administer data on traffic.
Autonomous vehicles
Autonomous driving has put cities in serious concern. Here’s where lies the importance of object detection for the safety and security of vehicles. It allows them to identify pedestrians to navigate safely.
Healthcare
AI has brought a revolutionary change in the medical industry. From medical imaging to identifying indications of abnormalities, AI facilitated healthcare verticals with early diagnosis and personalised treatment plans.
Video surveillance
Artificial intelligence can effectively identify and track multiple instances of a given object in a scene. Installing automated video surveillance systems will enable real-time tracking and monitoring of operations in retail stores and industry floors. It administers relevant insights into worker’s performance, security, retail foot traffic and many more.
Top AI-enabled object detection tools
A wide range of tools of AI are responsible for creating user-friendly and seamless AI development and object detection software. Here’s an overview of the popular tools used worldwide.
- PyTorch
- YOLO
- TensorFlow Object Detection API (Google)
- Microsoft Azure computer vision
- OpenCV
Notable use cases of AI object detection
AI object detection is constantly transforming different industries by improving safety, efficiency and user experiences.
Retail: Automated inventory management
In retail businesses, AI video analytics software helps streamline stock level monitoring, resulting in enhanced customer satisfaction and diminishing discrepancies. It ensures product availability by real-time updating of stocks.
Automotive: Autonomous vehicle navigation
Having an autonomous vehicle navigation system enhances road safety by allowing vehicles to detect and navigate around pedestrians and other vehicles. This improves urban planning and road safety systems.
Security agencies: Surveillance solution
From improving security through real-time monitoring for unauthorized access to detecting intrusion in restricted areas, AI object detection helps in improving overall surveillance solutions.
Agriculture: livestock monitoring
AI video surveillance has proved beneficial in improving yield & reducing losses by potentially detecting nutrient deficiencies, pests & many more.
Final thought
Object detection works on complex deep learning algorithms in which tools like TensorFlow and YOLO are crucial. The tools are efficient and deliver effective results. As a leading AI Development company, Nextbrain holds effective expertise in computer vision, object detection, machine learning, deep learning and many more. AI has been a revolutionary development in digital transformation.
To know more about AI development, connect with our professionals and develop your object detection system with AI.