Product and service introduction
From waste disposal to AI system development
Koryo E&R, a waste disposal company based on AI object recognition
SYSTEM “Kong-I”
The World’s First Full-Service Pet Waste Management System
from Collection to Final Disposal
In South Korea, approximately 27% of households own pets — meaning that nearly 1 in 3 people live with a companion animal. The total pet population is estimated at around 8 million, generating approximately 1,500 tons of pet waste every day.
Unlike livestock waste (from cows, pigs, chickens, etc.), which is commonly recycled into compost and other useful materials, pet waste is currently treated as general household garbage and is simply discarded.
Korea ENR Co., Ltd. is pioneering a new era of resource circulation by developing a comprehensive system to collect and recycle the rapidly growing volume of pet waste.
Our innovative service, “Kong-I,” not only offers an environmentally responsible solution but also addresses one of the biggest inconveniences faced by pet owners—pet waste disposal during walks. By implementing this system, communities can benefit from higher levels of hygiene, sustainability, and resident satisfaction.
Process
1. Collection
Collecting through an object-recognition IoT waste bin exclusively for feces
Product Name ‘Kong-I’: Patent and Design Applications Filed”
2. Transport and Compost Production
Our dedicated treatment facility enables us to perform composting, thereby contributing to resource circulation.”
As described above, we offer a full-service solution, from initial collection to transport and composting, providing our customers with the best possible service while contributing to waste resource recycling.
Product KY-001
A Robot Truck designed to collect roadside garbage utilizing Computer
Visual Recognition Technology
A robot truck equipped with AI visual recognition that automatically gathers garbage when it encounters it on the highway.
According to the Keep America Beautiful organization in 2020, 23.7 billion pieces of litter clutter about 8.3 million miles of roads in the United States. This equates to more than 2,411 pieces of litter per mile. Researchers estimate that cleaning up this litter costs the United States more than $11 billion annually. Typically, state or city workers handle roadside trash removal, which is an additional expense for taxpayers. The development of these robots is aimed at reducing the substantial cost of roadside waste removal.
[System flow chart]
[Vision test -garbage sample]
[Gripper test]
[Robot Module]
Product KY-002
A Robot Truck designed to gather trash along the beach utilizing Computer
Visual Recognition Technology
A robot truck equipped with AI visual recognition that automatically gathers garbage when it encounters it on the beach.
During the 2022 International Coastal Cleanup (ICC) in the United States, around 3.4 million waste items were gathered. Among the states, Florida stood out with the highest number of waste items found. If the number of marine debris at beaches around Orange County, California, could be reduced by just 25 percent, residents could collectively save an estimated $32 million during the summer by avoiding long trips to beaches for cleanup efforts.
Developing Computer Vision-based trajectory robots and putting them on US beaches for collecting garbage instead of personnel.
[Model Image]
Product KY-003
Robot truck for lifting grate on the road using Computer Visual
Recognition Technology
Removing sewer grates is required for sewer maintenance, yet it can weigh up to 200kg which poses challenges for removal unless two or three workers manually remove it. To solve the problem, if a computer recognition powered robot arm is able to automatically detect the grate and remove it, sewer maintenance can be done quickly and easily with just one operator
[Model Image]
