#technoloogy

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India generates roughly 250 million tons of trash every single year and only 34% of it is being recycled. Many different stats that reveal shocking trash tendencies despite environmental awareness. The difficulty of waste management has never been so extreme before, which is why today this industry employs nearly half a million people who undertake the gigantic task of disposing of at least 4.4 pounds of waste for every single Indian day in and day out.

Below are 6 key points that are undergoing a massive transformation in the waste management industry:

Improved Recycling Rates

Today, many waste management companies are investing in improving their tools and techniques. The latest development in recycling where people can dump all the trash in one bin has reduced the sorting burden on people and drastically improved the rate of recycling. This has also decreased the truck count and ultimately the emissions as well.

Automated Waste Collection

Innovations in technology have transformed the way waste management works. There are automated sensors that trigger instant alerts every time a container is full and needs service. Other Innovative and technological tools that are making the sorting process fast and easy include optical sorters, magnets, and advanced disk screens. Now, the trucks have also switched from diesel to natural gas for quieter and cost-effective operations.

Route Optimization

Route optimization is important for protecting the environment and decreasing harmful emissions which is why companies are investing in advanced systems and optimization software. Now, they are utilizing automated trucks that are installed with robotic arms for saving time and effort along existing routes.

Landfill Modernization

The waste management industry has modernized garbage dumps for harnessing the power of science and scale. Extremely designed landfills that comply with federal and state regulations ensure complete protection of human health and the surrounding environment.

Enhanced Safety

Many waste management companies are concentrating to improve safety which is of prime importance to an industry running several 30-ton trucks through residential areas. All the drivers are subjected to train at designated facilities to reduce the rate of accidents and injuries.

Quick Turnaround Times

Many bigger waste management companies have also invested in feature-rich customer-facing technology. They are developing user-friendly mobile apps to facilitate prompt service, extra pickups, and bill payment through push notifications.

These are some of the ways that technology is innovating in the waste management sector. It doesn't matter what industry you’re in, new technology is eventually going to come along and change the way business is done. That’s why all of us here at LAHS ECO Engineering stands for waste management company pay attention to the latest advances and newest tech industry to effectively manage your waste.

by Johanna Zmud

Just like teenagers, robot drivers need lots of practice. iurii/Shutterstock.com

What do self-driving cars and teenage drivers have in common?

Experience. Or, more accurately, a lack of experience.

Teenage drivers – novice drivers of any age, actually – begin with little knowledge of how to actually operate a car’s controls, and how to handle various quirks of the rules of the road. Their first step in learning typically consists of fundamental instruction conveyed by a teacher. With classroom education, novice drivers are, in effect, programmed with knowledge of traffic laws and other basics. They then learn to operate a motor vehicle by applying that programming and progressively encountering a vast range of possibilities on actual roadways. Along the way, feedback they receive – from others in the vehicle as well as the actual experience of driving – helps them determine how best to react and function safely.

The same is true for autonomous vehicles. They are first programmed with basic knowledge. Red means stop; green means go, and so on. Then, through a form of artificial intelligence known as machine learning, self-driving autos draw from both accumulated experiences and continual feedback to detect patterns, adapt to circumstances, make decisions and improve performance.

For both humans and machines, more driving will ideally lead to better driving. And in each case, establishing mastery takes a long time. Especially as each learns to address the unique situations that are hard to anticipate without experience – a falling tree, a flash flood, a ball bouncing into the street, or some other sudden event. Testing, in both controlled and actual environments, is critical to building know-how. The more miles that driverless cars travel, the more quickly their safety improves. And improved safety performance will influence public acceptance of self-driving car deployment – an area in which I specialize.