Object-Shifting Mechanisms for In-Transit Logistics Sorting
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Solution Overview
Problem
Current logistics systems face challenges in efficiently organizing, routing, and tracking a large number of objects, leading to limited capacity and resource inefficiencies in handling and transporting objects to specific destinations.
Innovation Solution
An object-shifting system comprising an object-shifting apparatus with detection, engagement, and shifting capabilities, utilizing object-detection components and adaptable object-engaging components to identify, locate, and transfer objects across multiple support structures, directed by computing devices for enhanced precision and efficiency in logistics networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual handling and organizing of objects is used, then resource consumption is high and capacity is limited, but automation components add device complexity
Solution Approach 1:
The system is divided into modular components: detection components (cameras, sensors), object-support structures (conveyors, robots), and control systems. Each module performs a specific function and can be independently configured or replaced, allowing the system to handle varying object volumes without requiring complete system redesign.
Solution Approach 2:
The object-support structures are designed to be multi-functional, capable of performing detection, transport, sorting, and routing functions. This universal design allows a single system to handle diverse object types and volumes, improving productivity without proportionally increasing complexity.
2Measurement precision
If automated detection and identification systems are implemented, then object handling precision increases, but system complexity and initial resource requirements increase
Solution Approach 1:
Image processing algorithms and pattern recognition systems serve as intermediaries between the detection components (cameras, sensors) and the object-support structures. These intermediaries automatically interpret detection data and generate control signals, achieving high precision without requiring complex direct control mechanisms.
Solution Approach 2:
The system replaces manual visual inspection and physical measurement with automated optical detection and digital image processing. This substitution achieves superior measurement precision while reducing the complexity associated with manual operations and mechanical measurement devices.
3Adaptability or versatility
If flexible and adaptable object-engaging components are used, then the system can handle diverse object shapes and sizes, but the device complexity increases
Solution Approach 1:
The object-engaging components incorporate dynamic adjustment mechanisms that allow real-time modification of gripping force, position, and orientation based on detected object characteristics. This dynamic adaptability enables the system to handle diverse object shapes and sizes using a standardized component design, avoiding the need for multiple specialized mechanisms.
Data Source
AI summary
Detecting, locating, identifying, engaging, and/or shifting objects in automated or semi-automated fashion as well as methods, systems, apparatuses, and computer-program products therefor. Embodiments used for shifting objects in automated or semi-automated fashion may be implemented in stationary environments, and/or in moving, e.g., in-transit, environments, and may be used to transfer, route, and/or organize objects based on their designated destinations. The embodiments may further be implemented in a logistics network, thereby increasing the efficiency and capacity of the logistics network, among other benefits.