Sparrosense AI Supervisor monitors people and process using the power of video analytics
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Fragmented delays in processes througout the production chain - manual and process related.
Worker productivity is lower than expected and manhours are lost due to slacking during work.
No single view of complex processes and it is hard to gain insights from multiple dashboards.
Processes are captured using CCTVs. Then smart AI algorithms use visual cues to identify processes.
Sparrosense processes the captured footage to detect both machine movement and worker actions.
AI algorigthms help predict delays. Dashboards and alerts help push for action.
Sparrosense gives a fully automated monitoring of the processes. In addition, it helps in management of processes by providing a single view of complex and fragmented processes.
By utilizing existing CCTV infrastructure, Sparrosense proves to be cost effecient, making adoption easier.
The dashboard easily integrates with a wide range of ERP and reporting software.
The AI Supervisor uses captured data to predict delays in advance and then drives to prevent delays using timely SMS alerts.
This steel parts manufacturer was struggling with bottleneck at Mold Preparation and Furnance Melting. Smallest of delay and lack of coordination was leading to immense loss of productivity. Sparrosense was able to accurately measure and predict delays just by analysing cctv feed and automatically alerting workers. This unlocked the bottlenecks driving revenues significantly.
"The first time we saw the demo, it was almost like magic. Now, Sparrosense AI Supervisor is helping me and my Supevisory team have a better handle on day to day processes and enabling us to drive revenues."
