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- vignesh@quikieapps.com
- Banglore, India
Advanced Video Analytics Solutions
Our Intelligent Video analytics solutions use artificial intelligence and machine learning to identify and remove particles in the video, identify each object using a professional Deep Convolutional Neural network, and classify each object for innovative surveillance analysis, such as search and filtration notifying, and aggregation of data and visualization. For industrial automation, intelligent cities, green systems, and other sectors, QuikieApps’s Video Analytics Solutions (VAS) product range speeds video analytics pipelines to provide meaningful business insight from video streaming. Built on QuikieApps are analytics platforms with AI+ acceleration utilizing GPUs or FPGAs, QuikieApps Video Analytics Solution provides system integrator and standalone software providers with the best score and adaptability.
Video analytics’ primary purpose is to autonomously distinguish spatially and temporally occurrences in videos. The services we’re providing are
It is critical to guarantee personnel safety on a commercial factory or construction site. Managers have a tough time ensuring that all employees wear their PPE correctly. QuikieApps is an AI-powered video analytics solution that addresses PPE (Personal Protection Equipment) related danger and risk detection situations as well as violations. This process can also be used to search for and easily detect non-compliance instances in which employees are not wearing required PPE, such as headgear, overcoat, protective clothing, or eyeglasses. Customers in the primary industrial, process, chemical, and construction sectors may install it in their shops, building sites, and production facilities. QuikieApps AI technology collects data straight from webcams, does Machine Learning and Neural Network research to verify protective equipment, prohibited zone invasions, and other breaches, and displays the violations as reports and warnings on panels and even on smartphone Apps. PPE detection consists of
Facial recognition gives powers for safety, protection, and administrative efficiency. As a seamless integration aspect of its expandable Video Analytics solution, QuikieApps face detection and recognition features offer best-in-class face similarity. The AI Facial Recognition System is a video analytical solution with structured video monitoring and a control approach. For any company or organization considering QuikieApps face detection for productive people and network maintenance, the video content observation and facial recognition process is a perfect platform. Businesses and organizations have never placed a greater emphasis on human identity. The advantages of applying sophisticated Video Analyses to leverage digital identification have led to increased security, efficiency, good communication, and enhanced client satisfaction. Safety and monitoring, personnel management, product management, services, automation systems, and data modeling are all areas where our AI Video Analytics and Facial Recognition System provides visual intelligence.
Benefits of Face recognition
QuikieApps software takes a series of initial object detection methods, creates a unique identifier for each of them, and then follows the identified objects as their movement across frames in a movie. Object tracking, in other terms, is the problem of accurately recognizing objects in a clip and understanding them as a series of trajectories. Surveillance, human contact, diagnostic devices, road traffic tracking, and human influence detection are all uses of object detection and traceability in machine learning.
The basic steps of object tracking are:
QuikieApps software takes a series of initial object detection methods, creates a unique identifier for each of them, and then follows the identified objects as their movement across frames in a movie. Object tracking, in other terms, is the problem of accurately recognizing objects in a clip and understanding them as a series of trajectories. Surveillance, human contact, diagnostic devices, road traffic tracking, and human influence detection are all uses of object detection and traceability in machine learning.
The basic steps of object tracking are:
Video analytics is a type of software that monitors video in real-time, which is also known as intelligent video analytics. Using video analysis of monitored surroundings, the program recognizes qualities, events, or specific behavior patterns while watching the recordings. Video analysis software may also send out automated warnings and help with forensic data analysis to find trends, practices, and occurrences. Users may utilize the program to evaluate, organize, and share any insights they discover to make wiser, better decisions. It has a wide range of uses, including tracking vehicle patterns, traffic offenses, and persons accessing prohibited locations within certain time intervals.
Computational algorithms and deep learning are used in video analytics to monitor, analyze, and handle massive amounts of video. They evaluate visual inputs digitally before converting them into valuable data that aids judgment.
Monitoring and administering a surveillance system may be challenging, especially if you have many cameras to manage. It’s tough and time-consuming to keep track of everything that’s going on. Intelligent video analytics software employs thorough and powerful algorithms to evaluate digital video streams.
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