AI Driven Automated Video Content Monitoring For Education
VisionBot is a Cloud Based AI & Computer Vision Platform that derives analysable objective data regarding objects, people and events from streaming or stored videos. Our target market is the education sector that needs custom object and event detection through 24×7 visual monitoring to improve operational efficiency.
VisionBot leverages Neural Networks and Deep learning to achieve accuracy of detection and minimising false positives. We have built this platform based on our team’s deep skill sets and experience in data science, machine learning and cloud services. We remain in a continuous mode of bringing innovative new solutions around Machine Vision that helps improve operational efficiency of Enterprises.
VisionBot can also be offered as an on premise service in Hybrid / Private Cloud / Data Centre for enterprise requirements. It features an adaptive platform and learns on its own training. Users can also expedite training by providing preferences that makes it more efficient. VisionBot works in both online (real time camera feed) or offline(stored video) modes. It offers the following features:
- Workplace safety and Compliance
- Inventory Management
- Routine and special inspections
- Attendance and Access control
In a typical institute, three different use cases can be automated using camera feeds of the following sections.I.e. Classroom, Accounts Section and Visitor’s Lobby.
Objective Data From Existing Classroom Cameras:
From the feeds of the classroom cameras, we will be able to analyze the attentiveness of students during particular lectures. We will take into account the movements exhibited by the students and using our specialized movement algorithms will be able to distinguish between high voluntary movements and low involuntary movements.
This will also denote a periodic trend based on the students’ activities in the classroom during lectures. With this output we will be able to map behavioural aspects of students based on the movements of students non-intrusively.
The data collected from multiple classrooms over different lectures can provide a measure of collective interest of students towards subjects taught or lecturers / instructors. VisionBot’s round the clock automated monitoring of classroom allows such data generation that is impossible through manual inspection.
Event Analysis From Existing Accounts (Cash Counter) Cameras:
From the feeds of the Accounts Section cameras, VisionBot algorithm will help analyse movements taking place across the counter. This will provide an indication of potential financial transactions along with time stamp that had occurred at the Accounts/ Cash Counter. The data derived from this analysis may be used during an internal audit or accounting reconciliation.
The data may also be used to infer statistics and analytics of the Account Section transactions and operations, non-intrusively.
Visitors Information From Existing Visitor's Lobby Cameras:
From the feeds of the Reception Area cameras, VisionBot algorithms will help analyse and count the number of visitors entering over a specified period of time. We take into account the count of individuals coming in, what would be their possible age groups and also whether they are coming in groups. It would mean we can analyse visitors entering the reception area, whether they are a family, possible age group of the students and their parents accompanying.
With this output we can help towards creating a customer friendly user experience and also help in providing data points for improving business development, non-intrusively.
IMPLEMENTATION
On Premise Edge Computing
We recommend the On Premise Data Center mode for installations that have or likely to add a large number of cameras. Cameras are easily installed either through our partners or by third party service providers. VisionBot works with most modern IP CCTV camera systems subject to adequate ambient light conditions.
VisionBot server(s) will be installed at local Data Center over a network either cabled or over wide area wifi.
Cloud Based Implementation
For smaller sites or temporary sites we recommend an asset light implementation of VisionBot.
In this case there is no need of installing servers and data centre operations. Cameras can be directly interfaced to VisionBot cloud servers through appropriate internet routers. There is no upfront investments except cameras and switches. This configuration is highly popular and effective as it can also connect multiple sites that provides senior executive 24X7 access to field data and visuals.
