Ranking June 2026
What are the top 25 AI waste detection & recognition tools in June 2026?

The RankmyAI AI Waste Detection & Recognition Ranking presents the top 25 AI tools from our Overall ranking in June 2026 focusing on ai waste detection & recognition.

 

AI waste detection and recognition tools use artificial intelligence to identify, classify, and analyze different types of waste materials in images, video streams, or sensor data. These systems commonly rely on computer vision and machine learning models to recognize materials such as plastics, paper, metals, organic waste, or hazardous items. They are used in applications such as automated sorting in recycling facilities, monitoring waste streams in industrial or municipal environments, detecting contamination in recycling processes, and supporting citizen-facing tools that help users identify materials and determine the correct disposal method.

 

The green up and red down arrows indicate how many positions a tool has increased or decreased compared to the previous month's ranking. A grey dash means the tool's position has remained unchanged.

Top 25 out of
53
1
Recycle Track Systems Recycle Track Systems provides waste management technology and services that use sensors, imaging AI, and data analytics to monitor containers, detect contamination, and optimize collection. Its platforms, including Pello and Cycle, enable real time tracking, recycling engagement, and reporting to improve operational efficiency and sustainability.
paid
United States
2
Greyparrot Greyparrot provides AI-powered waste analytics to enhance efficiency in recycling facilities, enabling real-time tracking and improving material recovery through sophisticated AI integration with existing systems.
unknown
United Kingdom
3
Recycleye Recycleye develops AI powered robotic sorting systems and analytics software for waste management facilities. Its technology uses computer vision and robotic arms to identify and separate materials such as plastics, metals, and fiber, helping facilities increase material recovery, improve purity, and automate waste sorting operations.
paid
United Kingdom
4
Parkoview Upciti provides privacy-by-design urban sensors and a real-time data platform that help cities and communities become smarter without compromising citizen privacy. Its multi-use devices capture and process visual and environmental information directly on the sensor, outputting only anonymous data for use cases such as smart parking, vehicle and pedestrian counting, bulky waste detection, and sound level monitoring. The data can be visualized through Upciti’s own dashboard or fed into any existing city management or public application, giving local authorities and partners actionable insights to improve mobility, urban logistics, cleanliness, and quality of life.
unknown
France
5
ZenRobotics ZenRobotics provides AI-powered robotic sorting systems that automate waste and recycling operations. Its product line includes Heavy Picker robots for bulky construction and demolition waste, Fast Picker robots for lightweight packaging and similar materials, and the ZenBrain AI platform that identifies and sorts high-value recyclables. Customers can deploy ZenRobotics as standalone sorting stations, retrofit the robots into existing facilities, or design new greenfield plants around smart robotics, helping them increase recovery rates, improve worker safety, and advance circular economy targets.
paid
Finland
+1
6
Everest Labs EverestLabs offers RecycleOS, the first AI-driven operating system for recycling plants. It automates material recovery facilities with vision technology and robotics to optimize sorting and increase recycled content, fostering sustainability.
unknown
United States
-1
7
NANDO NANDO is an AI powered waste monitoring platform that uses computer vision, machine learning, and IoT sensors to track waste production, fill levels, and waste streams in real time. It generates automated waste reports, provides analytics, and supports route optimization and compliance management across industries.
paid
Italy
8
Xnext Xnext’s XSpectra is an inline hyperspectral X-ray inspection system that uses CdTe photon-counting detectors, custom photonics, and AI to detect contaminants like metal, glass, bone, plastic, wood, stones, and kernels in food and pharma products, and to improve sorting in recycling. It provides top-down, XL, and lateral/diagonal configurations for different packaging and product formats, enabling fast, accurate quality control and compliance on production lines.
unknown
Italy
+1
9
WeSort.Ai WeSort.AI enhances waste sorting with AI, optimizing material flow and removing contaminants for improved recycling efficiency.
unknown
Germany
+3
10
Bin-e Bin-e is an AI powered smart waste bin that automatically identifies, sorts, and compresses waste using computer vision and sensors. The system tracks fill levels, processes waste data in real time, and provides analytics through a cloud platform to help organizations manage recycling and waste collection more efficiently.
paid
Poland
+1
11
Ameru Ameru offers AI-powered waste management solutions with high precision sorting and detection, utilizing Nvidia technology for efficient and sustainable operations.
unknown
Bulgaria
-1
12
Phoenix AI Phoenix AI provides intelligent video analytics software that uses computer vision to analyze camera feeds in real time on edge devices. The platform processes video directly on embedded GPUs to detect events such as crowd flow, intrusion, traffic risks, or urban issues, enabling monitoring and automated decision support across security and smart city environments.
paid
Belgium
-4
13
Visia Visia Solutions provides a multimodal AI platform for recycling operations, enhancing safety and throughput through hazard detection and material intelligence.
unknown
United States
+3
14
Plaex Plaex offers smart recycling bins that automatically sort waste, improving recycling rates and reducing waste management costs through adaptable AI technology.
Netherlands
-1
15
Biriktir Biriktir is an AI powered sustainability platform that helps organizations track carbon footprints, improve ESG performance, and encourage recycling through a gamified system. It uses AI waste recognition and impact tracking to monitor recycling activities, reward sustainable behavior, and generate environmental impact reports.
freemium
Turkey
+13
16
SmartBin AI SmartBin AI provides an AI powered food waste monitoring system. The platform uses computer vision to analyze food discarded in bins, estimate the percentage of uneaten meals, and generate reports and dashboards that help organizations track waste patterns and reduce food waste.
paid
Unknown
+6
17
Stellai Stellai delivers real-time AI vision for recycling plants, helping operators detect hazardous waste early on moving machines and fixed installations. It provides instant alerts, traceability, and fleet-wide learning to reduce risk, improve sorting decisions, and recover value from waste streams.
unknown
Norway
-3
18
Intelligent Systems AI Intelligent Systems AI provides advanced waste management systems to improve monitoring and sorting efficiency.
unknown
Netherlands

Not Available

19
Smart Bin Technologies Smart Bin Technologies develops AI powered recycling systems that automatically classify and sort recyclable bottles. The platform uses machine learning and data analytics to identify materials, improve sorting accuracy, monitor recycling patterns, and support more efficient production of high quality recycled materials.
paid
Australia
-4
20
AISmart Bin AISmart Bin provides AI powered waste management solutions that combine smart bins, IoT devices, and cloud analytics. The platform detects waste types, enables source level segregation, prevents contamination, tracks waste across the supply chain, and delivers real time sustainability and recycling insights.
paid
India
21
DeepWaste DeepWaste is a mobile application utilizing AI algorithms for accurate waste classification, aiding in proper disposal to combat climate change.
unknown
United States
+5
22
rProcess rProcess provides data processing, annotation, and digital operations services that support AI development and enterprise workflows. Its offerings include data labeling, document digitization, design services, and operational support to help organizations structure data and automate processes across multiple industries.
paid
India
-3
23
ARIS Robotics ARIS Robotics provides ARIS Insights, an AI-powered monitoring solution that uses simple, easy-to-integrate cameras and the ARIS Cortex engine to recognize materials in waste streams, deliver live data, and visualize insights in a user-friendly dashboard. It enables ESG reporting, quality control, and proactive monitoring to reduce costs and improve recycling outcomes.
paid
Denmark
-6
24
Ganiga Hoooly is an AI-powered waste management tool that uses robotics and generative AI to optimize recycling processes, reduce CO2 emissions, and provide real-time monitoring and location tracking.
unknown
Italy
-3
25
Optocycle Optocycle provides AI-driven optical analysis for efficient recycling of mineral construction debris. It offers real-time material evaluation and automated documentation, aiding in transparent process management and reduction of construction waste.
unknown
Germany

Not Available

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Disclaimer

The RankmyAI AI Waste Detection & Recognition Ranking is derived from our Overall ranking, which measures the popularity of AI tools based on three key metrics: website traffic, reviews, and investments. The Overall ranking is calculated as the weighted average of the individual rankings for each of these metrics (for more details, see our Methodology page).

Not all AI tools in this ranking are exclusively focused on ai waste detection & recognition, as AI tools and companies often provide multiple services beyond this specific application. This ranking does not assess or indicate the quality, effectiveness, or reliability of the listed AI tools. It is solely based on popularity metrics and should not be interpreted as an endorsement or evaluation of their performance.

You are free to use and distribute our ranking, provided that RankmyAI is properly cited as the source (see our Copyright page).

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