Cutting-edge Computer Vision AI revolutionises waste management
Objective
Minimise waste and cut operational costs through efficient inbound waste management
Technology
AI-powered Computer Vision + Waste Detection + Waste Management Analysis + Visual Data Analytics
Industry
Aviation + Manufacturing + Industrial Kitchen + Food Solution + Airline Catering + Waste Recycling + Construction
Revamping auditing for sustainable waste reduction
Waste is a complex issue that affects different industries, especially manufacturing, food service providers, and waste recycling. It poses environmental, financial, and operational challenges. For example, according to the International Air Transport Association (IATA), the airline catering industry generates approximately 6 million tonnes of waste annually, with 20% untouched food and drinks.
This indicates a significant environmental impact and highlights the urgent need for better resource management and cost-effectiveness within these industries.
Standard waste management approaches typically depend on manual inspections and traditional AI technology. Conventional AI models can be helpful, but they have a drawback known as model drift, where the accuracy in predicting outcomes decreases due to changes in the real-world environment. This issue can reduce the effectiveness of AI models, leading to inefficiency and added expense.
In response to the significant problem of various types of waste, Aicadium implements AI models with continuous learning to combat model drift. This waste minimisation approach ensures operational efficiency and sustainability by providing adaptive, accurate, and cost-effective solutions.
Areas of focus
The advanced AI-driven computer vision application, Aicadium View™, excels in monitoring and quantifying the volume of waste produced, thereby playing a pivotal role in reducing the environmental impact of waste and contributes to lowering the overall operational carbon footprint.
Waste Auditing
Tracking and analysing waste generation involves footage captured immediately after a worker unloads a trolley of waste onto a conveyor belt to accurately detect and count various items such as concrete, containers, or uneaten food.
The collected data is compiled into a comprehensive report to provide actionable insights for the manager, enabling the formulation of more effective and efficient waste management strategies, with essential features including:
Analysis of various types of waste to measure the amount of recyclable materials
Aicadium’s proprietary solution to streamline the data-gathering process
Continuous learning to ensure AI models remain effective and up-to-date
Dynamic dashboard for easy review and audit trail
The numbers say it best
35%
DECREASE
in food waste
$350 M
projected in
COST REDUCTION
100k
thousand tonnes in
WASTE REDUCTION
Our approach
Aicadium View™ employs a blend of cutting-edge techniques, including foundation models and continuous learning methods that improve the speed and efficiency of deploying AI solutions compared to the typical approach involving a time-consuming and expensive manual video labelling, model training, and refinement process. The true brilliance of Aicadium View™ lies in its ability to adapt on the fly, absorbing new data and information and quickly adjusting to changes. This capability ensures a smooth incorporation into existing systems, effectively closing the gap between data gathering and actual application. More than just a technical achievement, this approach is paving the way to be more sustainable, indicating a significant advancement in the field.
Aicadium impact
Aicadium’s continuous-learning AI solution represents a pivotal advancement in reducing waste and carbon emissions within the manufacturing and food solution industry. By enhancing eco-friendly practices, Aicadium View sets a clear path toward achieving global environmental objectives and fostering a more sustainable future.
Additionally, Aicadium enhances operational efficiency through data-driven insight and employs a streamlined approach to data collection to minimise cost. The notable impact of sustainability improvement, cost reduction, and decision-making insights positions Aicadium View as a key player in driving sustainable and future-focused practices within the field.