Vehicle-Mounted Dimensioning System Initialization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current dimensioning systems for packages in transportation and logistics are inefficient as they require packages to be stationary and isolated, consuming time and resources, especially when packages are carried by vehicles like forklifts, which complicates the measurement process due to proximity to other objects.
Innovation Solution
The system initializes image sensors before the vehicle and object arrive at the imaging area by synchronizing clocks, setting sample rates based on vehicle movement, allocating memory, and recalibrating sensors, allowing for efficient and accurate dimensioning without interrupting vehicle movement by using RFID or LIDAR location systems to detect the vehicle's approach and prepare the sensors for image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If packages are stationary and isolated for dimensioning, then measurement accuracy is improved, but productivity deteriorates due to time consumption and resource usage
Solution Approach 1:
The system performs preliminary actions by detecting the vehicle's approach using RFID or LIDAR and initializing image sensors before the vehicle enters the imaging area. This includes synchronizing clocks, allocating memory, and recalibrating sensors in advance, allowing accurate dimensioning to be achieved without requiring the vehicle to stop or wait, thus maintaining productivity while ensuring measurement precision
2Productivity
If image sensors are initialized before vehicle arrival, then productivity is improved by reducing measurement time, but device complexity increases due to additional initialization components and procedures
Solution Approach 1:
The system implements self-service by having the dimensioning system automatically detect vehicle approach and trigger initialization sequences without manual intervention. The system autonomously manages clock synchronization, memory allocation, and sensor recalibration based on detected vehicle proximity, reducing operational complexity while maintaining high productivity
3Measurement precision
If vehicle movement is interrupted for dimensioning, then measurement precision is improved, but loss of time increases due to vehicle stopping
Solution Approach 1:
The system performs all necessary initialization actions in advance before the vehicle enters the imaging area. By detecting the vehicle's approach and pre-synchronizing clocks, pre-allocating memory, and pre-recalibrating sensors, the system ensures that when the vehicle passes through the imaging area, dimensioning can be completed immediately without interrupting vehicle movement, thus eliminating idle time while maintaining precision
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables rapid and accurate dimensioning of objects being carried by vehicles, reducing the time and resources needed for measurement while maintaining the efficiency of the loading process, applicable in various environments beyond just package loading.
Implementation Method 1
using RFID or LIDAR location systems to detect the vehicle's approach
Implementation Method 2
using RFID or LIDAR location systems to detect the vehicle's approach
Data Source
AI summary
Methods, systems, and apparatus for initializing a dimensioning system based on a location of a vehicle carrying an object to be dimensioned. An example method disclosed herein includes receiving, from a location system, location data indicating a location of a vehicle carrying an object; responsive to the location data indicating that the vehicle is approaching an imaging area, initializing, using a logic circuit, a sensor to be primed for capturing data representative of the object; receiving, from a motion detector carried by the vehicle, motion data indicating a speed of the vehicle; and triggering, using the logic circuitry, the sensor to capture data representative of the object at a sample rate based on the speed of the vehicle.