Video analytics is the automated processing and analysis of video data to extract insights and patterns, such as object detection or people counting.
We have vast experience providing video analytics solutions to organizations for making data-driven decisions and optimizing business strategies. Our Video Analytics services leverage advanced technologies to meet unique business needs.
We assist you in optimizing your business performance with the following Video Analytics services:
Identify objects in video frames and track their movement in surveillance, security, traffic flow, and others.
Identify human faces in different video streams based on facial features and create unique digital representations.
Track and Analyze object movements in video sequences and extract key information such as direction, speed, trajectory, and others.
Analyze videos and extract contextual information about the scene, such as object detection, scene segmentation, and pattern recognition.
Track and Analyze video data and extract subjective information such as emotions, opinions, and attitudes.
Analyze viewer behavior and preferences in video content to optimize ad placement and increase ad revenue.
Improved security with real-time threat detection and alerting
Enhanced customer experience with behavior analysis and optimization
Increased operational efficiency with automated tracking and monitoring
Streamlined traffic management with real-time flow analysis
Optimized marketing strategies with audience analysis and profiling
Improved safety through monitoring of high-risk areas
Enhanced situational awareness with real-time incident analysis
Improved quality control with automated inspection and analysis
Our services are accurate and reliable because we bank on automated and well-integrated (multiple sources) video data analysis processes to eliminate human errors.
We seamlessly integrate all your systems, such as security cameras, access control, and intrusion detection systems, with our analytics technique for a comprehensive solution.
We present data insights with the help of user-friendly interfaces consisting of customizable dashboards, graphic visualizations, and interactive tools.
We implement robust security measures, such as encryption, access controls, and secure storage, to ensure confidentiality and compliance with data privacy regulations.
Our solutions are driven by state-of-the-art algorithms which is why we make it easy to recognize objects, faces, and events accurately and quickly.
Our video analytics solutions give insights into performance analytics such as KPI, SLA, system uptime and availability, and fault tracking.
We have experience in delivering video analytics services to various industries. Some of the industries that we have worked with include:
Banking and financial services
Four Pillars of Data Governance shape excellence in data quality & decision-making. Know about their core principles in this guide.
Challenges in data migration testing affect an organization's data integrity & business operations. Uncover some of the key challenges here.
Video analysis is evaluating and extracting meaningful information from video data. It involves using computer vision and machine learning techniques to analyze and understand a video's visual content. Video analysis aims to automatically detect and track objects, recognize actions and events, extract features and attributes, and generate insights such as object and event classification, activity recognition, and scene understanding. Video analysis applications include surveillance, behavior analysis, content-based retrieval, and video summarization.
Common applications of video analytics include surveillance and security, traffic management, crowd analysis, and behavioral analysis.
Video analytics works by processing video data to identify and track objects or people and then applying algorithms to analyze their behavior, movements, and patterns. The results are then used to extract information and insights.
Technical requirements for video analytics include high-quality cameras, powerful computers, and specialized software. Additionally, the video data must be of sufficient quality and resolution for the algorithms to identify and analyze objects and people accurately.
The benefits of using video analytics include the following:
Challenges of using video analytics include data privacy concerns, the need for high-quality video data, and the algorithms' complexity. Additionally, video analytics can be computationally intensive and require specialized hardware and software.
Examples of video analysis tools are as follows:
Intelligent Video Analytics (IVA) uses advanced algorithms and artificial intelligence (AI) to analyze and interpret video data. This technology monitors and analyzes video content in real-time, extracts insights, and automates decision-making.
Working with the Phygital data engineering team has been a game-changer for our company. They helped us identify our data ingestion problems and implemented a centralized system to tackle them. We highly recommend their services.
Technical Product Manager
We needed support to help grow our retail business with data-driven recommendations. We found it in Phygital Insights’ Data Analytics Services. They studied our data, uncovered hidden patterns, and enabled us to anchor decisions on data-driven insights. Don’t look beyond Phygital for all your data needs.
Product Manager, US-based Retail Firm
We were struggling to increase our combined yield for all processes. After several futile efforts, we turned to Phygital. Their end-to-end analysis helped us identify hidden bottlenecks in the production line. We plugged them in to cut down on wastage and improve overall efficiency. Their service was indeed a game-changer.
Senior Operations Manager, US-based Manufacturing Company