EdgeSense for Computer Vision by Deloitte

1. AI models on the edge: CCTV camera feed monitoring with observations detected in real time. The EdgeSense Computer Vision models detect people, assets, animals and objects and monitors how they interact with each other; capturing video snippets that meet a specific set of criteria as defined by the business.
2. Workflow: Automated notifications for users to review observations and drive escalation or resolution. EdgeSense save and aggregates relevant video snippets of potential process observations and notifies the allocated personnel for expert review, event confirmation and feedback.
3. Dashboards: Real-time trend analysis, insights, benchmarking & reporting. EdgeSense data analysis includes trend reports outlining observations and resolutions over time for each type of deviation, zone, camera, and location.

EdgeSense has many benefits compared to the traditional camera surveillance:

Monitoring – Significantly better monitoring of facilities and assets through the use of AI, computer vision and robust data analytics and statistics.

Insights – More accurate and quantifiable insights into the type, severity, and frequency of observations.

Continuous improvement – Automated feedback loops continuously improve the accuracy of AI and CV models.

Saves Time – Significantly reduces FTE time required to review video footage.

Real Time – Reporting, warnings and alerts can be sent in real-time and can also interact with operational equipment.

Scalable – EdgeSense is cloud native, which allows it to easily scale to multiple locations, environments, and processes.

1. Workplace Safety: Ensure compliance and reduce accidents.
2. Animal Health and Welfare: Monitoring livestock and their handling.
3. Asset Condition Monitoring: Keep track of equipment health and use.
4. Road Safety: Monitor driver behaviour and improve traffic management.
5. Body-Worn Cameras: Enhance intelligence extraction and accountability.