Resources

Manufacturing plants have to ensure the safety of their workers and promote the proper use of personal protective equipment. Avathon Visual AI Advisor offers real-time detection of safety and security issues, allowing corrective action to be taken. Visual AI can improve safety in manufacturing environments by: Detecting noncompliance with PPE use. Gauging worker attentiveness and […]

Fueling station operators need to maximize their ability to gain insights that lead to satisfactory visits and repeat business. Avathon Visual AI Advisor offers more than 40 use cases for gas stations and convenience stores to improve operations and profitability, for example: Tracking productivity and availability of popular items. Measuring customer satisfaction via a matrix […]

One of India’s leading potato chip producers was discarding up to 7% of its finished product due to defective quality issues. When manual inspection results did not generate the desired quality improvement outcome, they turned to Avathon Visual AI—taking advantage of computer vision-enabled efficiencies that quickly delivered significant quality control gains. Learn how Visual AI: […]

Closed-circuit television (CCTV) cameras have primarily been thought of as security systems, not fire safety systems. But if you combine those same CCTV cameras with leading-edge AI capabilities, you transform them into proactive analytical assets that provide actionable insights and automated alerts to better manage risk, increase worker safety, and improve security. In this case […]

Maximize production, increase efficiency, and improve safety by deploying AI-powered predictive analytics. Learn how one company: Improved annual production by up to $30M per platform. Avoided maintenance actions that would have caused two days of deferred production worth at least $10M. Predicted 75% of historical failures with an average of 9 days advance warning. To […]

Learn how a leading contract manufacturer of specialty petrochemicals leveraged our machine learning-based predictive analytics to improve refinery safety and productivity, starting with industrial pumps. Find out how our solution: Identified precursors to pump failure. Allowed operators to avert accidents. Helped the company plan repairs before an accident. To download this Case Study click here.

Predict electric submersible pump (ESP) failures to decrease well downtime, reduce costly maintenance, and increase production. Read how one major oil and gas company: Used normal behavior modeling (NBM) to identify unhealthy pump assets. Identified 5 of 7 historical ESP failures with 13-35 days advance notice (potential savings of $1.35M in deferred production). Employed sensor […]

Improve manufacturing plant efficiency across multiple locations with quantified granular performance insights. Learn how a global beverage manufacturer: Achieved integration of a configurable KPI dashboard with the organization’s existing data infrastructure. Obtained real-time transparency into its operations at process and KPI levels. Reduced water and power consumption, heat generation, and carbon footprint. To download this […]

Maximize the value of operation and management contracts with improved monitoring of energy losses. Read how one company: Achieved energy loss calculations that reflected nearly 10% in unrealized lost production. Identify up to 8% of balance of plant availability issues that go undetected with OEM tools. Identify causes of energy loss, and conduct maintenance steps […]

Learn how Avathon detects performance-impacting yaw misalignments with high accuracy—and faster than traditional methods. In this case study, learn: The major drawbacks to LiDAR and physics-based approaches for detecting yaw misalignment. Why our machine learning-based solution is not only a much faster method, but a more accurate one. How a customer used Avathon’s platform to […]

Utility companies that operate hydro turbines have a vested interest in performing regular maintenance to decrease asset downtime and prevent unexpected failures or catastrophic events. In this case study, learn how one leading hydropower utility company applied machine learning to better analyze problematic turbine behavior and predict uncommon failures. Read how the company: Identified a […]

Learn how a leading contract manufacturer of specialty petrochemicals used our machine learning-based predictive analytics to improve refinery safety and productivity, starting with industrial pumps. Find out how our solution: Identified precursors to pump failure. Allowed operators to avert accidents. Helped the company plan repairs before an accident. To download this Case Study click here.