Intelligent Vision System for Automated Management of Goods Movement

Abstract

A cutting-edge intelligent vision system is transforming material tracking by eliminating the need for physical tags, sensors, or devices attached to the goods in transit. Leveraging advanced artificial intelligence (AI) and cutting-edge vision technology, this system provides real-time monitoring and precise tracking across all stages of the logistics process. Rather than using traditional tagging methods, it utilizes high-resolution cameras and AI algorithms to automatically identify and track materials based on their visual features. This allows for seamless and accurate tracking of every item without manual input, ensuring that all materials are correctly monitored. The system continuously analyzes movement, location, and handling patterns, enhancing operational efficiency and security by detecting discrepancies, unauthorized handling, or misplacements instantly. Designed for dynamic and fast-paced logistics environments, this autonomous solution optimizes material handling and inventory management, offering real-time insights that improves efficiency, quality of the boxes, reduce errors, and support a more streamlined and secure supply chain operation.

Specification

Description:DESCRIPTION:
Field of the Invention:
The present invention is situated within the realm of automated logistics and goods handling
systems, focusing specifically on an intelligent solution for managing the movement of goods,
whether executed manually or through Material Handling Equipment(MHE). This system
incorporates cutting-edge technologies such as artificial intelligence(AI), real-time tracking, and
advanced verification mechanisms to ensure the accurate, efficient, and secure movement of goods
across various operational environments, including warehouses, manufacturing facilities,
distribution centers, and other logistics operations.
Key components of the system include scanning device and tracking cameras, which facilitate the
capturing of essential data related to the goods. The AI-driven processor analyzes this data, enabling
real-time decision-making and enhancing the system's responsiveness. Additional elements such as
speakers, digital displays, and warning lights are integrated into the system to provide clear
communication and alerts to personnel during operations. Control mechanisms are in place to
automate the handling and transportation of goods, thereby reducing the potential for human error
and improving overall operational efficiency.
Moreover, the system is designed to retain comprehensive data on both scanned and unscanned
goods, creating a valuable repository of information for future reference and analysis. This
capability allows for enhanced inventory management and offers insights into operational trends,
ultimately supporting better decision-making processes in logistics management. Overall, this
invention represents a significant advancement in the field of automated goods handling,
contributing to improved accuracy, security, and efficiency in logistics operations.

BACKGROUND OF THE INVENTION:
In modern logistics, warehousing, and distribution, the efficient and precise movement of goods is
crucial for operational success. As the demand for faster and more reliable supply chains increases,
so does the complexity of managing large inventories and ensuring that the correct items are
moved, shipped, or stored at the right time. Human error, tracking discrepancies, and
mismanagement of goods can result in significant financial losses, delays, and security breaches.
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Traditional methods, which rely heavily on manual verification and tracking, are no longer adequate
in today's fast-paced, highly automated environments.
Existing systems that attempt to automate goods movement often lack the necessary precision and
real-time oversight. As a result, materials may be shipped without being scanned, or the wrong
items may be scanned and shipped, leading to discrepancies between what is moved and what
should be moved. This is particularly problematic in operations handling large volumes of goods or
complex supply chains, where multiple items are processed simultaneously. Misplaced, incorrect, or
excess items can cause significant disruptions and require costly interventions to resolve.
Additionally, many current systems lack real-time tracking and deviation detection capabilities.
When goods are not properly monitored at every stage, they can be lost or misrouted, leading to
inefficiencies and increased inventory loss risks. Without intelligent, immediate feedback
mechanisms, errors are often identified too late, resulting in unauthorized goods being moved or
delays in operations.
To address these challenges, there is a need for a more advanced system that not only automates
goods movement but also provides intelligent monitoring, real-time verification, and error
detection. The system must be able to continuously track goods, detect discrepancies, and trigger
corrective actions instantly, while integrating seamlessly into existing logistics and supply chain
processes. This invention meets these needs by offering an AI-driven solution that significantly
improves the accuracy, efficiency, and security of goods movement in modern logistics
environment.
The prior international patent CN106415623B differs from Clofus Innovations primarily in its
tracking technology, system focus, alert mechanisms, and application environment. CN106415623B
uses RFID tags, GPS data, and geofencing to track goods by tagging them with RFID and monitor-
ing their location within a virtual geographical boundary, relying on a sensor-based approach. In
contrast, Clofus Innovations uses AI-driven cameras and scanning devices that recognize goods
without requiring physical tags like RFID, instead utilizing a vision-based tracking system that de-
pends on optical scanning. Additionally, CN106415623B focuses on the movement of goods using
transportation vehicles such as forklifts within specific geofenced areas, tracking both the vehicle
and its load and adjusting the geofence as necessary. On the other hand, Clofus Innovations targets
material handling equipment (MHE) and automated handling systems in warehouses or distribution
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centers, managing both manually and automatically moved goods while emphasizing inventory
management and preventing unauthorized handling. The alert mechanism in CN106415623B ad-
justs operations based on whether an object is within the correct geofence, such as increasing the
geofence size if the load is incorrect, whereas Clofus Innovations integrates an audio-visual alert
system with speakers and lights to immediately notify personnel of discrepancies, featuring an AI-
enabled manual override for human intervention if needed. Lastly, CN106415623B is primarily ap-
plied to transportation logistics, focusing on vehicles and tracking cargo through various geographi-
cal locations, whereas Clofus Innovations has a more generalized application across logistics envi-
ronments like warehouses, distribution centers, and manufacturing facilities, supporting both manu-
al and automated goods movement.
The prior international patent US11270348B2 differs from Clofus Innovations in its technology fo-
cus, control mechanisms, scope of application, and user feedback. US11270348B2 heavily relies on
wireless beacons that adjust their transmission rates based on the status of containers (whether
opened or closed) and uses video from cameras as supplementary tracking information. In contrast,
Clofus Innovations, referred to as Form 2 in this comparison, uses AI and real-time sensors for
scanning, tracking, and managing the movement of goods, automating operations without the need
for wireless beacons. The control mechanisms in US11270348B2 mainly monitor shipping process-
es using video and beacon signals to ensure product accountability, while Form 2 integrates direct
control features, such as an electrical switch, to control the movement of goods, ensuring that only
verified items proceed. Regarding the scope of application, US11270348B2 is specific to shipping
containers and preventing unauthorized access, whereas Form 2 has a broader application across
environments like warehouses and manufacturing facilities, tracking and verifying goods during
movement. Additionally, US11270348B2 does not provide real-time user feedback such as alarms
or alerts, whereas Form 2 includes visual and audio alerts, using warning lights and speakers to no-
tify personnel of issues like incorrect item movement
Objective of the Invention:
The primary objective of this invention is to establish an intelligent and automated system for
effectively managing the movement of goods, whether performed manually or through Material
Handling Equipment (MHE). This system is designed to ensure accuracy, security, and efficiency
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throughout the logistics process, addressing the critical challenges faced in modern supply chain
management. By integrating advanced technologies such as cameras, artificial intelligence (AI), and
various control and alert mechanisms, the system aims to achieve the following key objectives:
1. Accurately Verify Goods: The system is meticulously designed to verify all goods being
moved by ensuring that each item is properly scanned and cross-referenced against a
predefined list of authorized items. This rigorous verification process effectively prevents
unauthorized goods from advancing through the logistics chain, thereby safeguarding
inventory integrity and compliance with operational standards. The verification mechanism
utilizes advanced scanning technologies that capture critical data, including barcodes and QR
codes, to validate each item prior to movement. This guarantees that no item is moved without
undergoing the necessary scanning process, thus eliminating the risk of errors or unauthorized
handling.
2. Detect and Correct Discrepancies: One of the system's core functionalities is its ability to
automatically identify discrepancies in the movement of goods. This includes detecting items
that have been moved without scanning, as well as identifying incorrect or surplus goods.
Upon detecting any anomalies, the system initiates appropriate alerts or corrective actions,
such as halting movement or notifying personnel, thereby preventing errors in the movement
process and ensuring swift resolution of issues.
3. Enable Real-Time Tracking: The invention features continuous tracking of both scanned and
unscanned goods, enabling real-time monitoring of their location and movement throughout
the logistics process. This tracking capability ensures that every item is accounted for,
significantly reducing the risk of loss or misplacement. By maintaining an accurate log of
goods in transit, the system provides valuable insights into operational efficiency and
facilitates better inventory management.
4. Enhance Operational Efficiency: The system automates the control of the moving
mechanism based on AI-driven analysis of scanned data. This allows for seamless
management of the goods' movement, with the system intelligently determining when to start
or stop operations based on the verification results. By minimizing the need for manual
intervention, the system significantly reduces delays caused by errors and streamlines logistics
workflows.
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5. Improve Safety and Security: Safety and security are paramount in logistics operations. The
system addresses these concerns by providing immediate audio and visual alerts through a
speaker and warning light whenever unauthorized or incorrect goods are detected. This
ensures that relevant personnel can rapidly respond to potential issues, thereby minimizing the
risk of security breaches and ensuring compliance with operational protocols.
Through the achievement of these objectives, the invention seeks to streamline the handling and
transportation of goods, effectively minimizing human error and enhancing the overall integrity of
logistics operations. By harnessing the power of automation and intelligent technologies, this
system aims to revolutionize the way goods are managed in various environments, including
warehouses, manufacturing facilities, and distribution centers, ultimately leading to greater
operational success and customer satisfaction.
Summary of the Invention:
This invention introduces an advanced system designed to automate and manage the movement of
goods, either manually or using Material Handling Equipment (MHE), by harnessing artificial
intelligence (AI) and integrated monitoring technologies. The system incorporates several key
components, including scanning and tracking devices, an AI-powered processor, an electrical
switch, a speaker, a display, and a warning light. These components work together seamlessly to
provide accurate verification, tracking, and control of goods throughout various logistics processes.
The scanning devices capture and compare data from goods against a predefined list, verifying their
authenticity. The AI processor analyzes this data and identifies discrepancies, such as incorrect or
excess items. When an issue is detected, the system immediately triggers alerts via the speaker and
warning light. If goods are being moved with MHE, the system halts their movement using the
electrical switch to prevent unauthorized or incorrect actions. The system's tracking devices
monitor the real-time movement of goods, providing continuous oversight to ensure that items are
not lost or misplaced.
The AI system is designed to detect deviations from the intended movement path of goods and
implement corrective actions to prevent errors. This high level of automation reduces the need for
manual intervention, improving both operational efficiency and the accuracy of physical
movements. Additionally, the system ensures that the physical movement of goods is perfectly
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aligned with the movement recorded in the warehouse management software (WMS). Overall, this
invention offers a comprehensive solution for streamlining goods handling, minimizing human
error, providing valuable insights into the physical flow of inventory, and optimizing logistics
processes across industries such as warehousing, manufacturing, and distribution.
BRIEF DESCRIPTIONS OF DRAWINGS:
Fig 1 illustrates the central part of the diagram, represented as a long rectangular area. It symbolizes
the area through which materials are transported, likely via a material handling device such as a
conveyor belt. Arrows inside the movement zone indicate the direction of the material being moved
from the Inventory Source on the left to the Inventory Destination on the right.
Positioned adjacent to the movement zone, this device monitors the material as it passes through. Its
purpose is to capture information about the material being moved for inventory tracking, possibly
through optical or bar-code scanning technology.
Mounted near the scanning device, this speaker provides audio feedback during the scanning and
movement process. It could emit sounds to indicate successful or unsuccessful scans, errors, or
other system status updates.
Located next to the scanning device, the signal light visually indicates the system's status. It might
flash or change colors to show if the material is being successfully tracked, scanned, or if there's a
system alert.
Positioned above the movement zone, this secondary camera offers additional visibility and
tracking of the materials. It may provide a different perspective for monitoring the process or act as
a backup for the main scanning device.
Fig 2 illustrates that zone is depicted as the central pathway where materials are transported. The
material handling device such as the conveyor belt moves the material being moved toward the
Inventory Destination on the right.
• A figure is shown manually placing the material being moved onto the movement zone. The
material is represented as a solid object and is in the process of being fed into the system.
• The material, shown as a box-like object, is being manually placed on the movement zone by
the person. This material will be tracked and scanned as it moves from the Inventory Source
(0006) toward the Inventory Destination
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Fig 3 illustrates The material continues to move through the zone on the material handling device
as it is transported toward the destination.
• The scanning device is actively capturing data about the material being moved , as indicated by
lines projecting from the device toward the material. This process likely includes checking
barcodes, identifying item dimensions, or recording other key information for inventory
tracking.
• The material is now situated directly in front of the scanning device, which is capturing its
information. The material continues to move through the zone while being tracked by the
system.
• These dashed lines represent the detection field or scanning area through which the material
passes. The scanning device uses this zone to identify or register the material for further
processing
Fig 4 illustrates The material handling device continues to transport the material being moved
(0009) toward its destination. A person is again shown interacting with the material in the zone,
potentially adding or adjusting it as it moves.
• The scanning device continues its function of tracking and identifying the material being
moved (0009). The scanning process is highlighted here, with the device successfully capturing
the necessary data.
• A visual indicator, shown as a check mark and labeled "Scan Success," confirms that the
scanning process has been completed successfully. This implies that the system has accurately
identified the material for further inventory processing.
• A grid of smaller boxes is displayed near the scanned material, representing the packing
configuration of the materials. This could indicate how the material is grouped or packed in
corrugated boxes for shipment or storage, ensuring that the system is not only scanning but also
assisting in packing or inventory organization
Fig 5 illustrates The central part of the image shows the scanning or billing desk , where items are
processed during checkout. This desk serves as the main area where products are scanned for
billing.
• A device or scanner is positioned at the desk to scan and identify products . The system likely
uses barcode or RFID technology to record the item details for the final billing.
• The product placed under the scanner is an item being purchased. The scanner processes this
item to generate its price and add it to the total bill.
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• A single figure represents a person, who is responsible for scanning the products at the desk.
The cashier operates the system, ensuring all items are properly scanned and billed.
• A speaker or alert system is installed near the scanning system to provide real-time audio
feedback. It notifies the cashier of successful scans, errors, or any required actions.
• A camera is located above the desk, monitoring the checkout area. This camera is used for
security, ensuring the accuracy of the transactions and preventing theft or other issues.
• The "INVENTORY" section on the left side of the diagram represents the stockroom or
product storage area, where goods are kept before being placed on the sales floor.
• The "INVENTORY DESTINATION" section on the right indicates where the items go after
being purchased, likely the bagging area or the customer's final handover point
Fig 6 illustrates The process begins at the "Start" point . This marks the initiation of the tracking
and verification process for the material's movement.
Check for the Movement of Material :
The first step after starting is to monitor whether the material is in motion. This is
represented by the decision block labeled "Check for the movement of Material" .
Decision Block: If the Box is Moved :
A decision is made at this point: if the box or material is moved, the flowchart splits into
two possible paths:
If the box is moved within the moving zone : The process proceeds to the next step.
If the box is outside the moving zone : If the material is moved outside the designated
movement zone, the system raises alerts.
• If the box is moved outside the movement zone, alerts are triggered until the box is returned to
the correct zone. This step ensures that materials stay within predefined movement areas.
Checking the Code in the Material:
Once the box is confirmed to be within the moving zone, the next step is to check for a
code on the material. This code likely serves as an identifier for tracking and verifying the
item.
Scanning and Verifying the Code :
After the code is checked, the system scans the details from the code and compares them
with a predefined list of acceptable or expected codes. This ensures the material is correct
and has been authorized for movement.
• Another decision point occurs here:
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If the code matches : If the scanned code matches the predefined list, the process proceeds.
If the code does not match : If there is no match, the system announces the result to the
user and only allows the material to be returned to inventory.
• If the code matches, the system announces the successful verification to the user and allows the
material to proceed further. The material is approved for movement or dispatch after this
verification.
Detailed Description:
The present invention is a highly automated and intelligent system designed for managing the
movement and quality of goods (Fig. 1), applicable in various environments such as warehouses,
manufacturing facilities, supermarkets (Fig. 5), and distribution centers. This system enhances the
efficiency, safety, and accuracy of logistics and inventory management by monitoring, tracking, ver-
ifying, and inspecting goods at every stage of their movement. It handles goods whether they are
manually moved (Fig. 2), processed into larger boxes (Fig. 4), or distributed to customers (Fig. 5).
By integrating advanced technologies-including sensors, cameras, and artificial intelligence (AI)
-the system ensures that the physical movement of goods matches the data within warehouse
management systems (WMS), preventing errors, unauthorized handling, and discrepancies. Addi-
tionally, it inspects the quality of the boxes being moved, identifying damages or irregularities. The
system logs data for both authorized and unauthorized movements and inspections, allowing for
comprehensive analysis and reference.
Core Components:
1. Camera/Sensor: The system incorporates two or more camera/Sensor(fig 1), each serving a
distinct function. Specifically, there are:
Scanning Device: The system uses scanning cameras or sensors capable of capturing
critical information from goods, such as barcodes, QR codes, or other identifiers,
regardless of the items' orientation within the device's frame. The captured data is cross-
referenced with a predefined list of authorized items, ensuring that only the correct
goods are processed. Additionally, the system checks the quality of the boxes, verifying
their condition to ensure they meet the required standards before proceeding.
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Tracking Camera: Separate cameras continuously monitor the movement of goods,
including those that have not yet been scanned. The tracking data is transmitted to the
processor, allowing the system to maintain a real-time record of where each item is at all
times. This prevents misplacement, loss, or unauthorized movement of goods.
1. Electrical Switch: The system features an electrical switch that directly controls the moving
mechanism(Fig 3). This switch serves as the gatekeeper of the operation, starting or stopping
the movement of goods based on the AI processor's analysis of the scanned data. The switch
ensures that only properly verified goods proceed further through the process, while halting
movement if any discrepancies are identified.
2. Speaker: The speaker is essential for providing user-friendly voice alerts or buzzer sounds
during the scanning and movement of materials, as well as when issues such as unauthorized
movements, incorrect items, or system errors are detected. This feature offers immediate
feedback to personnel in the vicinity, enabling them to respond quickly to any potential
problems that may occur.
3. Display: A digital display provides real-time information regarding the goods being handled,
showcasing details such as item descriptions, scanned data, and verification results. This
display keeps operators updated on the system's status and facilitates manual intervention
when necessary. Additionally, it allows users to access a comprehensive dashboard that
includes logs of all authorized and unauthorized movements, enabling effective tracking and
oversight of inventory Movements
4. Warning Light: The system also features a visual alert mechanism in the form of warning
lights. These lights change color to indicate various system statuses-for instance, a green
light signals smooth operation, while a red light indicates that an issue has been detected and
requires attention.
5. Processor with Artificial Intelligence (AI): The AI-driven processor serves as the core
component of the system, overseeing data analysis and decision-making processes(claim 3).
Its primary functions include:
Verification: Confirming that the goods being moved(Fig 3) align with the authorized items
listed in the predefined inventory.
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Discrepancy Detection : Identifying any materials that are moved without scanning, as well
as incorrect, surplus, or unauthorized items. Upon detection, the processor triggers
appropriate responses, such as halting movement or activating alarms(Fig 3).
Tracking: Continuously monitoring the goods as they traverse the system to ensure correct
routing, thereby preventing loss or misplacement. This function also includes tracking
goods moved outside the system to avoid unauthorized movement without proper scanning.
Corrective Actions: Initiating necessary corrective measures, such as stopping the system or
sending notifications, when deviations or errors are identified
System Operations:
1. Verification of Goods: When goods are scanned, the system not only captures essential data
like barcodes or product identifiers (Fig 3) but also inspects the quality of the boxes. It checks
for any signs of damage, such as dents or tears, and assesses whether the packaging meets
predefined quality standards. This information, along with product identifiers, is compared
against a list of authorized goods and acceptable quality criteria stored within the system
(Claim 2). If both the goods and their quality match the requirements, they are allowed to
proceed. If discrepancies are found-such as incorrect items, damaged packaging, or surplus
quantities-the AI processor triggers immediate alerts. Alarms sound, warning lights flash,
and notifications are sent to designated personnel, ensuring quick response.
2. Discrepancy Detection and Alerts: The AI continuously monitors for unauthorized items,
packaging that fails quality checks, or deviations in the quantity or type of goods. When such
issues are detected, it activates alerts, emitting auditory warnings through the speaker and
flashing visual signals via warning lights. Notifications are also sent to smartphones or
computers of relevant personnel, ensuring they are promptly informed of the issue (Claim 8).
3. Control of Movement: The electrical switch is vital for regulating the movement of goods.
Based on the AI's analysis, it either allows the Material Handling Equipment (MHE) to
proceed or stops it entirely (Fig 3). If goods pass both the verification and quality checks, the
switch remains engaged, permitting smooth operation (Claim 4). If an error or quality issue
arises, the switch disengages, halting movement to prevent unauthorized, incorrect, or
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damaged goods from continuing. For manually moved goods, the system triggers alarms and
sends notifications for timely intervention by personnel.
4. Tracking and Monitoring: A tracking camera continuously monitors the movement of goods,
even before scanning occurs (Fig 2), ensuring that all items are accounted for. The AI
processor analyzes this tracking data, verifying that goods follow the correct path and
assessing the quality of the boxes to detect any visible defects. This comprehensive
monitoring provides a real-time record of each item's location, movement status, and
condition.
5. Deviation Detection and Corrective Actions: If the AI detects goods deviating from the
expected path, showing signs of damage, or remaining unmoved after scanning (Claim 7), it
takes immediate action (Fig 3). This may include stopping the system, sending alerts, or
recalibrating the process to ensure proper handling. Such measures prevent costly errors,
delays, or loss of goods, while maintaining high-quality standards (Claim 8).
6. Final Approval or Rejection: The AI processor, configured with predefined criteria,
determines if goods meet the quality and authorization requirements to continue. If all
conditions are met, the system operates without interruption. However, if any discrepancies or
quality issues are found, it halts the system, activating alerts to notify personnel, and prevents
further movement until the issue is resolved (Claim 8).
In summary, the system's advanced AI integration and quality-checking capabilities create an
automated, efficient solution for handling goods (Fig 3). It minimizes human error, enhances
security, and guarantees that all items are verified, tracked, and inspected according to warehouse
management standards. This integration of AI and real-time monitoring not only boosts operational
efficiency and safety but also provides valuable insights for improving inventory management and
quality control processes.
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WE CLAIM:
1. A system for managing and monitoring the movement and quality of goods, comprising:
• Two or more cameras, including scanning and tracking cameras;
• An electrical switch;
• A speaker;
• A warning light;
• A digital display for showing the status of the scanning process, details of discrepancies, logs
of both authorized and unauthorized goods, and quality checks of the boxes being moved;
• A processor with artificial intelligence (AI) capabilities;
wherein these components are integrated to collectively monitor, control, and verify the movement
process. The AI is configured to detect and track goods, including their quality, even if they have
not been scanned by the scanning devices. Unlike existing systems that fail to account for un-
scanned items and require sensor devices for validation, this system operates without the need for
physical tags.
2. The system as claimed in claim 1, wherein the scanning camera captures information from
goods, such as barcodes, other identifiers, and the quality of the boxes (e.g., damage detection).
It then compares this data against a predefined list of correct items to verify the goods being
moved.
3. The system as claimed in claim 2, wherein the processor, equipped with AI, identifies
discrepancies between scanned goods and the predefined list or detects quality issues, triggering
alarms and notifications via the speaker and connected communication devices when incorrect,
surplus, or damaged goods are detected. The digital display provides real-time updates,
highlighting discrepancies or quality issues, and maintaining logs of all goods movements.
4. The system as claimed in claim 1, wherein the electrical switch is connected to a moving
mechanism, such as a conveyor belt, and is designed to initiate or halt the movement of goods
based on the comparison between scanned goods, quality checks, and the predefined list, or
based on tracking data from unscanned goods.
5. The system as claimed in claim 1, wherein the tracking camera is configured and trained to
detect every material within its view, including goods that have not been scanned, and evaluate
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their quality without the need for physical tags or sensors. The tracking data is relayed to the AI
processor for real-time monitoring, quality verification, and detection of all goods within the
movement zone.
6. The system as claimed in claim 1, wherein the processor with AI monitors goods that have
been scanned but not yet moved, ensuring their presence, location, and quality are accounted for
within the system.
7. The system as claimed in claim 1, wherein the AI processor detects deviations from the correct
movement path or quality issues with scanned or unscanned goods, triggering alarms,
notifications, or initiating corrective actions based on the identified discrepancies or quality
problems.
as claimed in 8. The system claim 1, wherein the AI processor is configured and trained to:
• Permit continued movement of goods if the scanned information, quality checks, or visual
tracking matches the predefined list; or
• Halt the system and activate the speaker and warning light to issue audio and visual alerts if
discrepancies, unauthorized movements, or quality issues are detected.
Date and Signature
Karthik Balu
CLOFUS INNOVATIONS PRIVATE LIMITED
October 18th 2024
15 , C , Claims:WE CLAIM:
1. A system for managing and monitoring the movement and quality of goods, comprising:
• Two or more cameras, including scanning and tracking cameras;
• An electrical switch;
• A speaker;
• A warning light;
• A digital display for showing the status of the scanning process, details of discrepancies, logs
of both authorized and unauthorized goods, and quality checks of the boxes being moved;
• A processor with artificial intelligence (AI) capabilities;
wherein these components are integrated to collectively monitor, control, and verify the movement
process. The AI is configured to detect and track goods, including their quality, even if they have
not been scanned by the scanning devices. Unlike existing systems that fail to account for un-
scanned items and require sensor devices for validation, this system operates without the need for
physical tags.
2. The system as claimed in claim 1, wherein the scanning camera captures information from
goods, such as barcodes, other identifiers, and the quality of the boxes (e.g., damage detection).
It then compares this data against a predefined list of correct items to verify the goods being
moved.
3. The system as claimed in claim 2, wherein the processor, equipped with AI, identifies
discrepancies between scanned goods and the predefined list or detects quality issues, triggering
alarms and notifications via the speaker and connected communication devices when incorrect,
surplus, or damaged goods are detected. The digital display provides real-time updates,
highlighting discrepancies or quality issues, and maintaining logs of all goods movements.
4. The system as claimed in claim 1, wherein the electrical switch is connected to a moving
mechanism, such as a conveyor belt, and is designed to initiate or halt the movement of goods
based on the comparison between scanned goods, quality checks, and the predefined list, or
based on tracking data from unscanned goods.
5. The system as claimed in claim 1, wherein the tracking camera is configured and trained to
detect every material within its view, including goods that have not been scanned, and evaluate
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their quality without the need for physical tags or sensors. The tracking data is relayed to the AI
processor for real-time monitoring, quality verification, and detection of all goods within the
movement zone.
6. The system as claimed in claim 1, wherein the processor with AI monitors goods that have
been scanned but not yet moved, ensuring their presence, location, and quality are accounted for
within the system.
7. The system as claimed in claim 1, wherein the AI processor detects deviations from the correct
movement path or quality issues with scanned or unscanned goods, triggering alarms,
notifications, or initiating corrective actions based on the identified discrepancies or quality
problems.
as claimed in 8. The system claim 1, wherein the AI processor is configured and trained to:
• Permit continued movement of goods if the scanned information, quality checks, or visual
tracking matches the predefined list; or
• Halt the system and activate the speaker and warning light to issue audio and visual alerts if
discrepancies, unauthorized movements, or quality issues are detected.

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