Sneha Art Industrial IoT Automation

We retrofitted rather than replaced. Sensors were added to existing machines to capture production metrics, machine performance and environmental conditions, so the factory could keep its equipment while gaining data it never had before.

Control and monitoring were designed as two layers: programmable logic controllers handle automation and quality checks on the floor, while a central dashboard gathers sensor data in real time and raises alerts. Keeping the layers separate means the floor keeps running on its controllers even when nobody is watching the dashboard.

We implemented an IoT-based monitoring system with sensors tracking production metrics, machine performance and environmental conditions. A central dashboard provides real-time visibility across the floor and alerts the team when readings fall outside expected ranges.

The automation layer uses programmable logic controllers to run automated quality checks that previously needed manual effort, and the machine data collected by the sensors supports predictive maintenance — spotting signs of wear so servicing can be planned before a breakdown.

Machine and production sensors. IoT sensors on existing machinery capture production metrics and machine performance continuously.

Environmental monitoring. Environmental conditions on the production floor are tracked alongside machine data.

Central real-time dashboard. Sensor data from across the floor is brought together on one dashboard with live readings and alerts.

PLC-driven automated quality checks. Programmable logic controllers run quality checks automatically instead of relying on manual inspection.

Predictive maintenance. Machine performance data is used to anticipate maintenance needs so servicing can be scheduled ahead of failures.

Production, machine and environmental data is visible in real time on one dashboard rather than gathered by walking the floor.

Quality checks that once needed manual effort now run automatically through the PLC layer.

Maintenance can be planned from machine data instead of waiting for equipment to fail.

The existing machinery stayed in service — the system was added to it rather than replacing it.

The automation system Blackmorph implemented gave us complete visibility into our production floor. Downtime has dropped noticeably and quality checks that once needed manual effort now run automatically. Their team understood our machinery and processes remarkably well.