Mitchell B. Goldsteen – Productivity And Profitability Of Heavy Equipment

Mitchell B. Goldsteen

You have seen the news: Autonomous vehicles will soon be on your highway. However, the main source of road damage caused by unnatural causes is still heavy equipment, which has yet to be solved. Caption, an Israeli startup, has just unveiled MineCept, an AI-based system that could help.

Mitchell B. Goldsteen says the system targets equipment such as haul trucks, loaders, and bulldozers on construction sites, quarries, and industrial plants. Heavy machinery can be difficult to operate and costly to maintain. When a mechanical arm is required to lift something, it can be difficult for the operator to determine if the lifting height is too high or too low. If he does, he could cause damage that amounts to thousands of dollars to the object he was trying to avoid or the object he was trying to lift.

Ception’s technology is integrated into the headset so that an operator can look at a photo taken a few minutes before and receive real-time feedback about how close his equipment is to what it needs. He can see if his vehicle is free of obstacles.

Mitchell B. Goldsteen, founder of believes that autonomous equipment and artificial intelligence will be the norm in the next decade. Safety is our number one priority. AI will have a significant impact on the future.

Ception’s MineCept business model allows heavy equipment owners access to multiple apps using the same hardware kit. It supports many different situations in the field.

MineCept is cloud-based, so customers can download the application and create their network. They can then customise the settings and deploy the system however they wish.

Remote diagnostics and Telematics are the main features. Customers also have access to an app marketplace. The caption will allow customers to install any third-party application they wish.

It cannot be easy to stay safe when operating a crane on a busy construction site. This system uses advanced 3D mapping technology as well as precise positioning technology. It is not GPS-based and relies on visual feeds. The system provides complete situational awareness of the environment by cross-referencing information from different sensors, image processing algorithms, and deep learning.