Video Analytics
Video analytics is an innovative technology that uses computer vision and machine learning techniques to automate the processing of images taken from video cameras in real time.
Video analytics can be used to count the number of people or objects passing through certain areas, create heat maps, which is useful for analyzing traffic in retail stores or other public places.
Video analytics can be integrated with other security systems, such as access control or alarm systems, monitoring dangerous areas automatically.
How the INP platform uses video analytics
Video navigation
It allows you to determine the location of the user (or asset) inside the building, the route of movement, access to designated areas and the amount of time spent there. The information is visualized in the control panel in the form of graphs and a heat map, and can also be uploaded as a report.
Counting users
Video analytics allows you to calculate the total number of visitors in the room, the number of visitors who entered and exited in different time ranges.
Face recognition
Automatic face recognition and user identification via video cameras, comparison with the available image in the database to provide access.
Vehicle control
Number recognition. Optical recognition and reading of vehicle registration plates. It allows you to automatically grant access to authorized vehicles, as well as receive information about their movements around the object.
Control of dangerous areas
Automatic detection of people and equipment in dangerous areas and sending notifications of unauthorized entry through the control panel and telegram bot.
Safety
Analyzing movements in specified zones and monitoring the appearance of security violators in the required time zones.
The main advantages of video analytics lie in accessibility and ease of implementation, as well as a wide range of use
Camera video analysis and real-time notifications.
Automatic detection of people and equipment in dangerous areas and sending notifications of unauthorized entry through the control panel and telegram bot.
Face, object, and action recognition using video cameras.
It effectively detects and responds to potential threats, including facial recognition, which increases the overall security of the application site. It provides the ability to continuously monitor various scenarios, such as facility security, access control, and anomaly detection.
Accounting and control of tangible assets and equipment
Using video analytics, they represent an innovative approach to ensuring the safety and effective management of resources in various fields such as manufacturing, construction or storage. Various types of equipment and tangible assets can be automatically identified. The IP video analytics system can be easily integrated with other accounting and management systems, such as inventory accounting systems or enterprise resource planning (ERP) systems.
Monitoring of employees in the workplace and detection of intruders.
Monitoring employees in the workplace using video analytics is a modern method for effective monitoring and management of personnel in the work environment. The INP video analytics system is capable of detecting suspicious events or movements, preventing theft and illegal activities. In case of such situations, administration alerts are automatically triggered.
These video analytics features make it an integral part of video surveillance systems, providing a higher level of security, responsiveness to events, and data analysis for business decision-making.
Use cases and areas of application:
Retail
Obtaining customer flow analytics data, including gender and age information, assessing customer loyalty levels, including their frequency of store visits and length of stay, and queue detection. Enhance security and fraud prevention. Analysis of employee behavior in the sales area.
The result is achieved: the introduction of video analytics contributes to a 6% increase in revenue, a 30% increase in the effectiveness of marketing campaigns, and a 70% reduction in thefts.
Industry
Monitor the use of personal protective equipment, monitor the work of personnel in hazardous areas and unauthorized access to other people's workshops.
The result achieved is a 10% reduction in injuries and accidents, and a reduction in losses at the production site.
Medicine
Automatically register the presence on the territory of the medical center, monitor the movements of employees, count the number of patients during the day and their time of stay.
The result is achieved: accurate data on all movements of patients and staff during the day, heat maps of congestion zones, and the exact time spent in the doctor's office.
Construction
Monitor the registration of vehicle numbers entering the construction site and integrate with the access control system. Prevent theft of material assets. To increase the efficiency of workers' work.
The achieved result: the number of missing construction equipment and tools decreased by 2 times, the number of delays from lunch and breaks decreased by 3 times.
How INP Video Analytics works
Connecting cameras
The on-site video cameras are connected to a shared LAN with access to an IBM server (saas and on-premises).
Customization
In the INP platform, cameras are added to the map of the object in the appropriate places via the web control panel and the required parameters are set.
Selecting the operating mode
Each added camera is assigned the required mode of operation: tracking, face recognition, car license plates, monitoring of dangerous areas, and more.
Launch
The system starts up and object statistics are collected with data from video cameras.
Connecting to the API
The platform is connected to your ERP system using an open API.
The work of video analytics involves several basic steps:
Collecting video data
Video data can come from various sources, such as surveillance video cameras, mobile device cameras, unmanned vehicles, etc.
Preprocessing
The original video frames can be preprocessed, including noise filtering, image quality enhancement, and other techniques to provide more accurate analysis.
Object detection
Video analytics uses computer vision algorithms to detect objects in a video, such as faces, moving cars, objects of interest, and others.
Recognition
If necessary, for example, in video surveillance systems where it is important to recognize faces, algorithms begin to identify the detected objects.
Motion tracking
If motion detection systems are used, algorithms track moving objects on video and analyze their trajectories.
Analytics and decision-making
The information received is analyzed to make decisions or provide alerts. This may include analyzing behavior, counting objects, creating statistics, etc.
Integration with other systems
The analysis results can be integrated with other security systems, smart home devices, or business applications for broader data use.
Data storage and processing
The results obtained can be stored in databases for subsequent analysis, archiving, or use for statistical purposes.
Thus, video analytics combines computer vision, data processing, and decision-making methods for automated analysis of video data from various devices and sources.
INDOORS SDK iOS
Indoor navigation using QR codes can also be implemented in a mobile application by implementing the INDOOR SDK for iOS and Android devices.
INDOORS SDK Andriod
You can integrate the functionality of our geolocation platform into your mobile application in just a few hours thanks to detailed documentation.
Support
To save developers time, we provide consultations and technical support 24/7.
Video
On our channel you can find video tutorials on working with the Indoor Navigation platform.
Documentation
We provide information about all the features of our platform with a detailed description of API and SDK integration.
Our address
Ulitsa El Barsha 1, El Barsha 1, El Barsha, Hadaek Muhammad Bin Rashid, emirate Dubai