Vladimir Lebedev
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Product development & Implementation
Product development & Implementation
MVP: Computer Vision for a Blind Spot Monitoring System with Human Detection and Driver Alerting
MVP: Computer Vision for a Blind Spot Monitoring System with Human Detection and Driver Alerting
Budget: $80 000
Budget: $80 000
Timeline: 3 months
Timeline: 3 months
Scope & Objectives
Scope & Objectives
Scope & Objectives
Large-scale mining equipment has significant blind spots, which the operator cannot see from their workstation. This issue often leads to accidents.
In some cases, cameras are installed on the machinery, but until now, there have been no systems capable of automatically detecting people or other vehicles in blind spots and alerting the operator. Such systems fall under the Collision Avoidance System (CAS) category.
This solution was developed at the MVP stage.
Large-scale mining equipment has significant blind spots, which the operator cannot see from their workstation. This issue often leads to accidents.
In some cases, cameras are installed on the machinery, but until now, there have been no systems capable of automatically detecting people or other vehicles in blind spots and alerting the operator. Such systems fall under the Collision Avoidance System (CAS) category.
This solution was developed at the MVP stage.
Large-scale mining equipment has significant blind spots, which the operator cannot see from their workstation. This issue often leads to accidents.
In some cases, cameras are installed on the machinery, but until now, there have been no systems capable of automatically detecting people or other vehicles in blind spots and alerting the operator. Such systems fall under the Collision Avoidance System (CAS) category.
This solution was developed at the MVP stage.