Logistics

AI Driven Automated Video Content Monitoring For Logistics

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 logistics enterprises that need 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:

One such typical use case would be in the logistics sector. Visionbot helps automating several functions of logistics that are tedious for humans or erroneous under human monitoring. It is also a cost efficient option where there is a need for large manpower.

Counting Of Containers / Manifests / Packages

In a general business sense, logistics is the management of the flow of things between the point of origin and the point of consumption in order to meet requirements of customers or corporations. This involves counting and auditing a large number of containers / manifests / packages. This in itself, is a very repetitive TM and monotonous activity currently done with the help of Barcoding. Visionbot can augment this through automated visual monitoring.

Compliance To Max Tilt Angle Of Containers

The resources managed in logistics may include tangible goods such as materials, equipment and supplies, as well as food and other consumable items. It would be required to take care that containers do not tilt, or are mishandled, thereby causing damage to the consignment and materials inside. This is a task which is almost impossible to achieve through human supervision.

IMPLEMENTATION

VisionBot can be implemented in two ways

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.

VisionBot is a scalable system that can be used to analyze hundreds of camera feeds. It is cloud based thereby ensuring that Enterprise staff can access the data and information anywhere and anytime. Simultaneous monitoring of hundreds of cameras across multiple locations also provides deep insights for strategic planning, resource management and improves operation efficiency of organisations.