manufacturing

Technology that delivers results in manufacturing

Data-driven automation and system integration that improve production efficiency, visibility and operational control

Production under performance pressure

Fragmented systems and limited visibility reduce efficiency, increase downtime, and slow operational decisions

The biggest challenge

Improving efficiency without disrupting production

Manufacturing optimization often depends on manual observation and delayed data. Improvements stall when insight arrives too late or lacks precision

Limited process visibility

Higher line efficiency

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5-15%

Market benchmark for continuous monitoring of manual and semi-automated processes using vision and analytics.

Quality variability

Better defect detection

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20-30%

Typical result of automated visual inspection replacing human-only checks.

Operational reaction time

Faster response to anomalies

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20-40%

Near real-time data enables immediate corrective actions on the shop floor.

Technology means nothing until it moves the numbers

Measured outcomes based on manufacturing automation and data programs

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Higher production throughput

Continuous monitoring of cycle times and automated performance tracking increase line efficiency

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More consistent defect detection

Automated visual inspection improves quality control and reduces manual variance

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Faster corrective actions

Real-time measurements enable immediate adjustments at unit level

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Lower process variability

Standardized execution and data-driven control across shifts and production stations

OnTelli - Production and process analytics

Faster reactions, less downtime, stable production quality

OnTelli connects data from machines, sensors and camera systems to show what is really happening on the production floor. It detects anomalies, predicts failures and supports real-time quality control.

Business Proof

Data-driven automation and system integration that improve production efficiency, visibility and operational control

Computer Vision Implementation in Production Environment

Challenge

[01]

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Production processes relied on sampling, manual observation and periodic audits rather than continuous data. Quality control depended heavily on human perception, which led to variability across shifts and limited traceability. Cycle times were measured selectively, making it difficult to identify bottlenecks or react quickly to deviations.

Solution

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We implemented computer vision systems to monitor workstations and critical production steps continuously. Algorithms detected activities, cycle times, movements and defects in real time, replacing manual observation with structured data. Performance metrics were visualised for line supervisors and production managers, enabling immediate corrective actions. The solution was integrated with existing systems to ensure data consistency and operational stability.

Result

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Full process visibility was established across monitored workstations. Production throughput increased by 15% due to data-driven optimisation of cycle times. Defect detection consistency improved by 25%, reducing reliance on subjective assessment. Time to corrective action decreased by 40%, limiting waste and rework. Process variability across shifts was reduced by 20%, supporting more stable and predictable output.

Technology used in enterprise delivery

Capabilities applied where outcomes are measured and defended

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AI & Machine Learning

Predicting what matters

Computer vision
Activity detection
Quality analytics

Used in manufacturing environments

Project [01]

Vision-based monitoring of manual workstations and production steps.

Project [02]

Automated defect detection in visual quality control.

Project [03]

Predictive insights supporting process optimization.

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Automation

Reducing manual work

Process automation
Data capture
Reporting

Applied in production and quality workflows

Project [01]

Automated collection of production and quality data.

Project [02]

Standardized reporting across lines and shifts.

Project [03]

Repeatable workflows reducing dependency on manual audits.

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Cloud & DevOps

Scaling securely

Production data platforms
BI
Near real-time dashboards

Used in manufacturing operations

Project [01]

Centralized platforms for production and quality data.

Project [02]

Dashboards available directly on the shop floor.

Project [03]

Scalable infrastructure supporting multiple plants and lines.

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Cybersecurity

Protecting what powers your business

Access control
Secure production data
Platform stability

Aligned with manufacturing operations

Project [01]

Secure access to production and quality data.

Project [02]

Controlled data flows between shop floor and analytics platforms.

Project [03]

Stable security posture during system expansion.

Measured impact across industries

Observed in production environments through automation, monitoring, and data-driven process optimisation

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Higher production efficiency

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Improved defect detection

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Faster reaction to process anomalies

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99.9

Platform availability

Control over operations starts with reliable data

We support manufacturing teams in improving throughput, reducing variability, and stabilising production environments through integrated systems and automation

Contact

Let's talk about your production performance

Talk to an industry expert about your operations, systems, or improvement initiatives and identify practical ways to increase efficiency and reliability

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