Zone-Controlled Machine Safety Using Trusted Object Detection

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Solution Overview

Problem

Existing safety systems in industrial environments often fail to detect objects outside the field of view of machine sensors, leading to potential collisions and reduced productivity due to unnecessary emergency stoppages.

Innovation Solution

A method that utilizes fixed and mobile optical sensors to capture images of the operating field, detect objects-of-interest, calculate their positions in a reference coordinate system, and define controlled zones to trigger proactive safety measures such as reducing machine performance or activating warnings, based on trust scores derived from sensor characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If machine sensors are used to detect objects in the operating field, then collision safety is improved, but objects outside the field of view cannot be detected leading to reduced productivity

Engineering Contradiction:
Improvecollision safetyVSAvoidproductivity
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

A zone controller acts as an intermediary between fixed optical sensors and the machine. The zone controller receives image data from fixed sensors, detects objects in the machine's blind spots, calculates their positions in the reference coordinate system, and triggers safety measures before the machine reaches hazardous zones. This intermediary system extends detection capability beyond the machine's own sensors without compromising productivity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary safety checks by continuously monitoring the operating field with fixed optical sensors before the machine arrives at potential hazard zones. Objects are detected and tracked in advance, and the zone controller proactively triggers safety measures (reduced performance mode or emergency stop) before the machine reaches the controlled zone, preventing collisions while avoiding unnecessary stoppages.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If fixed optical sensors are deployed to expand detection coverage, then detection capability is improved, but system complexity increases

Engineering Contradiction:
Improvedetection capabilityVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The zone controller serves multiple functions: it receives and processes image data from fixed optical sensors, performs object detection, calculates object positions in the reference coordinate system, determines when objects enter controlled zones, and triggers appropriate safety measures. This multi-functional approach consolidates complexity into a single controller rather than distributing it across multiple independent systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The zone controller acts as an intermediary layer between the fixed optical sensors and the machine control system. It processes sensor data, makes safety decisions, and communicates with the machine, thereby simplifying the overall system architecture by centralizing the complexity of coordinating multiple sensors with machine control.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If trust score verification is implemented for sensor data, then safety reliability is improved, but processing time increases

Engineering Contradiction:
Improvesafety reliabilityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The zone controller continuously monitors and validates sensor data streams in advance, building trust scores over time as objects are tracked across multiple frames. This preliminary verification allows the system to make rapid safety decisions when objects enter controlled zones, as the trust assessment has already been performed during the object's approach.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback loops where sensor data is continuously validated and trust scores are updated based on object detection consistency, position calculation accuracy, and adherence to expected motion patterns. This feedback mechanism ensures high safety reliability while maintaining efficient processing through adaptive validation thresholds.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250271862A1Method for proactive safety
Publication Date: 2025.08.28 FORT ROBOTICS INC
  • US20250271862A1 patent drawing
  • US20250271862A1 patent drawing
  • US20250271862A1 patent drawing

AI summary

A method includes: accessing message including a frame captured by a fixed sensor in an operating field; detecting an object in the frame; calculating a first position of the object, in a reference coordinate system, within the operating field; calculating a trust score for the object based on a set of characteristics of the message; accessing a second position of a machine in the reference coordinate system; defining a controlled zone, in the reference coordinate system, encompassing the second position occupied by the machine based on the trust score; in response to detecting the first position of the first object intersecting the controlled zone, generating a command that transitions the machine from a nominal operating mode to a reduced performance operating mode; and transmitting the command to the machine.