Robotics Integration MGA Thermal

Robotics Integration MGA Thermal

SAPHI integrated the first of several robotic arms to automate the loading and unloading of thermal energy storage bricks for a renewable energy company, enhancing their capacity by a factor of 10 through robotics automation.

Robotics automation

What Was The Problem?

For MGA to deliver on its promise to clients, it required a significant ramp up in production capability. However, the manual handling of storage bricks was labour-intensive, prone to errors, and limited the company’s scalability. This manual bottleneck severely capped the potential of product output, urging a need for an innovative solution that could seamlessly integrate with the company’s infrastructure without incurring exorbitant costs.

What Was The Solution?

Our innovative approach combined the power of robotic arm integration with an optimized conveyor belt design. By re-envisioning the system’s layout, we harnessed the full capability of a single robotic arm, negating the need for a second. Our tech-agnostic perspective ensures that our primary goal remains on delivering optimal outcomes, rather than increasing equipment sales. This blend of strategic design and technology not only saved on costs but also amplified efficiency, showcasing our commitment to ingenious solutions tailored to each challenge.

What Were The Outcomes?

  • Significant cost savings by eliminating the need for multiple robotic arms.
  • 10 fold increase in production 
  • Consistency in output & performance
  • Marked decrease in maintenance demands.
  • Enhanced system oversight, driving efficiency.

What Skills Did SAPHI Use To Implement The Solution?

The tech and experience required for the Ai traffic system included a broad range of skills from our team of computer, electrical and software engineers, including:

  • Design & Consulting
  • Procurement
  • Integration
  • Embedded Programming
  • Mains power integration
  • Training

What Support Did SAPHI Offer After Completion?

SAPHI provides customised packages to support the full system development life cycle and implementation of upgrades to support the evolving needs of our clients and their customers.

 

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Crop Yield Tracking Using AI

Crop Yield Tracking Using AI

SAPHI revolutionized the approach to crop management for a prominent agriculture business. Harnessing AI-driven analytics, we optimized crop yield tracking, resulting in data-informed farming strategies and increased harvest outputs.

Water protection

What Was The Problem?

In the realm of agriculture, accurate crop yield tracking is indispensable for planning and optimising harvests. However, traditional methods proved unreliable and lacked precision. The extant system faced challenges in predicting and managing yields, leading to missed opportunities and potential financial losses. With the pressing demands of a growing population and fluctuating market dynamics, there was an urgent necessity to transition to a more advanced, data-driven approach for efficient crop management.

What Was The Solution?

To address the crop yield challenges, SAPHI introduced an avant-garde AI-driven solution specifically crafted for crop monitoring. This system meticulously captured the vital details of crop growth and health using machine vision techniques. It analysed parameters such as plant height, colour variations, and other vital signs, ensuring a precise yield forecast. Utilising advanced AI algorithms, the solution identified potential issues, from pest infestations to suboptimal growth conditions. By integrating this solution, farms could make informed decisions without intruding on the natural growth process, ultimately ensuring maximised harvests.

What Were The Outcomes?

  • Significant cost reductions by sidestepping
  • Maintenance overheads were notably diminished.
  • Elevated crop monitoring through detailed AI-driven analytics.
  • High-fidelity data acquisition pivotal for accurate yield forecasts.
  • Tangible reduction in agricultural inefficiencies.
  • Swift insights into crop health and potential issues.
  • Enhanced farm operations with data-centric decision-making strategies.

What Skills Did SAPHI Use To Implement The Solution?

To realize the AI-powered crop yield tracking solution, SAPHI harnessed the collective knowledge of our interdisciplinary team of computer, electrical, and software engineers. The project leveraged a broad spectrum of our core competencies:

  • Embedded microcontroller programming 
  • Creation of robust and encrypted data communication channels.
  • Integration with specialised agricultural sensors and imaging systems.
  • Comprehensive data analytics tailored for agronomic insights.
  • Development and calibration of bespoke AI models for crop analysis.

What Support Did SAPHI Offer After Completion?

SAPHI provides customised packages to support the full system development life cycle and implementation of upgrades to support the evolving needs of our clients and their customers.

 

Do You Have A Project You Need Support With?

Reach out to our friendly team today for a free consultation about your unique project.

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Workshop utilisation

Workshop utilisation

SAPHI streamlined the operations of a major workshop, optimizing its utilization rates and significantly improving throughput. By leveraging smart process enhancements and data-driven insights, we enhanced workshop efficiency.

What Was The Problem?

Workshop operations, pivotal to manufacturing efficiency, were plagued by bottlenecks and inconsistencies. The existing system lacked the capability to efficiently allocate resources, resulting in substantial downtime and underutilization. With production targets not being met and costs escalating, there was a pressing need for an innovative solution to revamp the utilization rates and bring the workshop back to optimal productivity.

What Was The Solution?

SAPHI designed a state-of-the-art machine vision solution tailored to monitor workshop operations in real-time. This system delves into the granular details, capturing utilization breakdowns—from employees’ computer time, time spent searching for parts, to actual hands-on tool operations. The system employs advanced algorithms that analyze this captured data, pinpointing inefficiencies and areas of concern. All this information is discreetly gathered without disrupting the daily operations, offering a clear lens into the heart of the workshop’s productivity challenges.

What Were The Outcomes?

  • Dramatic cost savings, avoiding the need for pricey IoT devices.
  • Maintenance needs drastically reduced.
  • Enhanced workshop oversight through clear visual analytics.
  • Top-tier data quality, crucial for actionable insights.
  • Substantial cutbacks in operational inefficiencies.
  • Immediate feedback on workshop activities.
  • Empowered workshop floor with data-driven decision-making tools.

What Skills Did SAPHI Use To Implement The Solution?

To effectively deploy the AI-driven workshop utilisation system, SAPHI pooled expertise from our multifaceted team, comprising computer, electrical, and software engineers. The project drew on a myriad of our capabilities:

  • Embedded programming.
  • Development of secure, encrypted communications.
  • Integration with existing camera systems.
  • In-depth big data analysis for actionable insights.
  • Crafting and refining tailored AI models.

What Support Did SAPHI Offer After Completion?

SAPHI provides customised packages to support the full system development life cycle and implementation of upgrades to support the evolving needs of our clients and their customers.

 

Do You Have A Project You Need Support With?

Reach out to our friendly team today for a free consultation about your unique project.

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