Object detection is breaking into a wide scope of enterprises, with use cases extending from individual security to efficiency in the working environment. Object detection is applied in numerous territories of image processing, including picture retrieval, security, observation, computerized vehicle systems and machine investigation. Critical difficulties remain in the field of object detection. The potential outcomes are inestimable with regards to future use cases for object detection.
Let us see some of the examples in Object detection in real life. Tracking objects An item/object detection framework is additionally utilized in tracking the objects, for instance tracking a ball during a match in the football world cup, tracking the swing of a cricket bat, tracking an individual in a video. Object tracking has an assortment of uses, some of which are surveillance and security, traffic checking, video correspondence, robot vision and activity.
People Counting Object detection can be additionally utilized for People counting. It is utilized for dissecting store execution or group measurements during festivals. These will, in general, be progressively troublesome as individuals move out of the frame rapidly (likewise in light of the fact that individuals are non-inflexible objects). 
Automated CCTV surveillance Surveillance is a necessary piece of security and watch. Ongoing advances in computer vision innovation need to prompt the improvement of different programmed surveillance systems. Be that as it may, their viability is influenced by numerous factors and they are not totally dependable. This examination researched the capability of an automated surveillance system to diminish the CCTV administrator outstanding task at hand in both discovery and following exercises. Typically CCTV is running inevitably, so we need a huge size of memory framework to store the recorded video. By utilizing an object discovery framework we can mechanize CCTV so that in the event that a few items are detected, at that point the record is going to begin. Utilizing this we can diminish the over and over account a similar picture outlines, which expands memory effectiveness. We can diminish the memory prerequisite by utilizing this object detection system. 
Person Detection Person detection is necessary and critical work in any intelligent video surveillance framework, as it gives the essential data to semantic comprehension of the video recordings. It has a conspicuous augmentation to automotive applications because of the potential for improving security frameworks. Person detection is undertakings of Computer vision frameworks for finding and following individuals. Person detection is the task of finding all examples of individuals present in a picture, and it has been most broadly achieved via looking through all areas in the picture, at all potential scales, and contrasting a little region at every area with known layouts or examples of individuals. Person detection is commonly viewed as the initial procedure in a video surveillance pipeline and can take care of into more significant level thinking modules, for example, action recognition and dynamic scene analysis. Vehicle Detection Vehicle Detection is one of the most important part in our daily life. As the world is moving faster and the numbers of cars are keep on increasing day by day, Vehicle detection is very important. By using the Vehicle Detection technique we can detect the number plate of a speeding car or accident-affected car. This also enables for the security of society and decreases the number of crimes done by car. By using Vehicle Detection Technology Pixel Solutionz have successfully detected the speed of the vehicle and we have also detected the number plate of the car using Optical Character Recognition (OCR). By detecting the Number plate, Pixel Solutionz managed to measure the speed of the vehicle and for and oil company we have successfully developed a Safety Alert System with collision detection warning alert. So to summarize, object detection can impact our life in a more positive way than ever before. With the advent of new architectures, low-cost GPU and democratization of AI, simple to production-grade object detection can be possible in most average hardware. For commercial and industrial application of object detection or any computer vision, do not hesitate to contact us.
