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AI Enables Autonomous Driving in Sanitation Service in China, Overseas
AI Enables Autonomous Driving in Sanitation Service in China, Overseas
Sanitation services. Image credit: Pexels
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Due to the large population base and the trend toward mass urbanization, Chinese sanitation industry is rapidly growing. AI has become a new tool for the industry. A combination of AI, IoT and big data technologies, smart sanitation is set to achieve more efficient management, greatly improving the operational efficiency of sanitation enterprises and thereby reducing management costs.

As mentioned in the previous article The Economics of Artificial Intelligence, AI assists suppliers in finding opportunities and achieving the product/market fit. Although fully reliable autonomous driving and its mass commercialization are still in the future, autonomous sanitation vehicles is turning into a niche opportunity that is bringing in profits.

The annual revenue from county-level sanitation service orders has reached CNY 200 million. With about 3,000 county-level cities, China forms an overall market size of CNY 600 billion, according to 36Kr citing Chen Shuo (陈硕), founder of Yangzhou Lingtan Environmental protection technology (扬州零碳环保科技).

One year ago, Baidu Apollo launched seven types of sanitation service autonomous vehicles, indicating AI capabilities in this area, although with low speed in a closed environment. These can replace human workers in scenic spots, high-speed trains, airports, neighborhood blocks, exhibition halls and other scenic areas.

In addition, Chinese companies engaged in smart sanitation services are going abroad. A Shanghai-based Chinese AI company Autowise.ai (仙途智能) has autonomous driving sweeper licenses in multiple Chinese cities, including Shanghai, Beijing, Xiamen, Hangzhou, Wuhan and Suzhou. It provided vehicles to the ALBA Group, a German recycling company, this May, becoming the first autonomous vehicle to wade into the European market.

Shi Tingjia (史庭佳), co-founder of Autowise.ai, earned his master’s degree in computer engineering from ETH and worked in McKinsey Germany for years. He said to AI Era, a Chinese tech media platform, that “German peers in the auto industry thought they would never purchase cars made in China, while autonomous driving sweepers are now exported to Germany, indicating our advantages in AI and big data.”

Dr. Chen Shuo graduated from the University of Cambridge and has been studying LiDAR and neural network algorithms since 2015. He emphasizes the computer vision of sanitation vehicles. Most autopilot sweepers clean all areas, while their sweepers differentiate themselves by visually identifying the type of waste, such as plastic bottles, glass bottles, peels, etc., to conduct targeted cleaning. At the same time, the sweeper combines the garbage truck and the sweeper into one vehicle, with the internal space to be filled until after 10 hours of continuous work.

Commercialization approaches of smart driverless sanitation cars include selling hardware, software licenses (charged by cleaning area), and advertising. In addition, companies are opening algorithms sources to partners to realize self-driving applications for fire trucks, snow sweepers and so on.

There's an economy of scale. Chen Shuo released the information that after 1,000 units, the average cost of the sweeper is about CNY 300,000; after 10,000 units, the cost is about CNY 200,000; after 100,000 units, the average cost is about CNY 100,000. The company claims to expect a profit this year.

Read more: Shanghai Launches AI Trash Bins: AI + Waste Management is Getting Popular in China 

Enterprise Information

EqualOcean is a leading industry tech media and an investment research company.
CATEGORIES: AI, Research
Last Funding Type
Series C
Number of Employees
200
Number of Funding Rounds
6
Total Funding Amount
26.79M

Enterprise Information

EqualOcean
EqualOcean is a leading industry tech media and an investment research company.
CATEGORIES: AI, Research
Last Funding Type
Series C
Number of Employees
200
Number of Funding Rounds
6
Total Funding Amount
26.79M

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