Agenda Machine Vision | Logimat India

CONFERENCE ON MACHINE VISION

10:00-12:00 Hrs

Inauguration - LogiMAT : The Role of Logistics in Realizing Viksit Bharat 2047

12:00-13:00 Hrs

Plenary Session : Future of Freight - Vision 2047

13:00-14:00 Hrs

Networking Lunch Break

14:00-14:45 Hrs

Machine Vision for Traceability

Machine vision technology has become a game-changer for traceability in various industries specially in the logistics industry. By leveraging advanced image processing and recognition algorithms, machine vision enables accurate and real-time identification, tracking, and tracing of products throughout the supply chain. It automates barcode and label reading, verifies product authenticity, and enhances inventory management. Machine vision systems can classify packages, recognize unique product features, and integrate with IoT devices for seamless data exchange. This technology improves supply chain visibility, reduces errors, ensures regulatory compliance, and enhances overall operational efficiency. This session aims to highlight the role of machine vision for traceability provides businesses with the tools to optimize logistics processes, enhance customer satisfaction, and drive growth.

Points of Discussion:

Real-Time Visibility
Package Recognition and Classification
Integration With IoT Devices
Enhancing Inventory Management and Logistics Operations
Error Reduction and Improved Accuracy

15:00-15:45 Hrs

Quality Control and Inspection with Machine Vision
This session will explore how machine vision technology can be used for quality control and inspection in logistics operations. Machine vision utilizes advanced imaging algorithms to inspect and detect defects, anomalies, and variations in products automatically and accurately. By analyzing visual data, machine vision systems can identify imperfections in dimensions, shapes, colors, textures, and surface conditions. This technology enables real-time quality control, reducing human error and increasing inspection speed. Machine vision can be integrated into production lines for continuous monitoring, ensuring consistent product quality. Speakers will share insights on how machine vision in quality control and inspection drives efficiency, reliability, and precision in manufacturing and logistics operations.

Points of Discussion:

Automated Quality Control with Machine Vision
Real Time Quality Control Processes
Integration With Data Analytics and Predictive Algorithms
Challenges In Implementing Machine Vision
Continuous Monitoring for Consistent Quality
Future Trends and Best Practices

15:45-16:00 Hrs

Networking Tea Break

16:00-16:45 Hrs

Machine Vision in Last-Mile Delivery

The final and most often crucial step of the logistics chain, last-mile delivery, is being revolutionized by machine vision technology. Machine vision allows accurate and efficient package handling, delivery tracking, and customer experience enhancement by applying image recognition, object detection, and route optimization algorithms. It enables automated package sorting and routing, assuring the best delivery routes and cutting down on delivery time. Additionally, realtime tracking of delivery vehicles and goods with the aid of machine vision enables clients to receive accurate delivery updates. Additionally, package theft and damage can be detected and prevented using machine vision, enhancing the general security and dependability of last-mile delivery operations. Also, machine vision in last-mile delivery improves customer satisfaction, streamlines logistical processes, and boosts productivity in the final stage in the supply chain.

Points of Discussion:

Challenges And Opportunities in Last-Mile Delivery Logistics
Route Optimization and Real Time Tracking
Improving Delivery Accuracy
Integration With Delivery Drones and Autonomous Vehicles
Contactless Delivery Solutions
Innovations In Autonomous Vehicles and Drones
Enhancing Reverse Logistics with Machine Vision

17:00-17:45 Hrs

Vision Solutions for Logistic Vehicles and Warehouse Automation

Vision solutions for logistic vehicles and warehouse automation use cameras and other sensors to help vehicles and robots navigate, identify objects, and perform tasks. These solutions can improve efficiency, safety, and accuracy in logistics operations. Vision solutions are a key part of the growing trend of automation in logistics. They are helping to make logistics operations more efficient, safer, and accurate. As the technology continues to develop, it is likely to become even more widely adopted in the years to come.

Points of Discussion:

Role in navigation and object detection
Enhancing efficiency in logistics
Automation in logistics
Future adoption and technological advancement
IoT-Enhanced Camera Systems for Smarter Warehouses

10:30-11:15 Hrs

Advancements in Imaging Lenses for Logistics

Optical systems are used in a wide variety of applications in the logistics industry, including barcode scanning, machine vision, and robotics. With the aim to optimize these systems, it is important to use the right imaging lenses. Recent advancements in imaging lenses for logistics have made it possible to create more efficient and accurate optical systems. They are making it possible to create more efficient and accurate optical systems, which is leading to improvements in a variety of applications.

Points of Discussion:

Lens technology evolution for logistics efficiency
Impact on barcode scanning precision
Enhancing machine vision with advanced lenses
Advancements in logistics imaging lenses
Transforming logistics applications with modern lenses

11:30-12:15 Hrs

Automated Handling Systems and Robotics

The logistics sector has undergone a revolution owing to the introduction of effective and innovative solutions for material handling and movement provided by automated handling systems and robotics. The sorting, picking, packaging, racking, palletizing, loading, and unloading processes that were formerly completed by humans are now done through these systems using modern robotics technology, machine vision, autonomous mobile robots & automation. These systems can swiftly and precisely recognize, locate, and handle objects by combining robotics and machine vision. Robotics and automated handling technologies boost operational effectiveness, lower labor costs, and increase safety in logistics operations. In order to increase productivity, save costs, and improve safety, this session will demonstrate how machine vision might enable automated handling systems, robotic pick-and-place operations, and autonomous vehicles.

Points of Discussion:

Automated Handling Systems and Robotics
Cost Savings and Improved Efficiency
Using AGV for smooth Logistics Automation
Optimizing Warehouse Operations with Robotics
Order Fulfillment Processes
Automated storage and retrieval systems

12:30-13:15 Hrs

Elevating Efficiency with 3D Time-of-Flight Cameras in Logistics

3D ToF cameras are more than just sensors; they are precision instruments that capture depth information in real-time. These cameras are revolutionizing logistics by providing real-time information and automating processes. They can be used in warehouse automation, inventory management, object detection, collision avoidance, and last-mile delivery. ToF cameras are becoming more seamless to integrate into logistics systems and are ready to play an important role in driving productivity and competitiveness in the logistics industry.

Points of Discussion:

Real-time depth information in logistics
Various automation applications in logistics
Warehouse optimization with ToF cameras
Object detection and collision avoidance
ToF camera integration in logistics
Future role in productivity and competitiveness

13:15-14:15 Hrs

Networking Lunch Break

14:30-15:15 Hrs

The Role of 3D Smart Sensors in Packaging and Logistics Excellence

3D smart sensors are revolutionizing packaging and logistics by providing accurate and detailed data about objects and their surroundings. They can be used in quality control, dimensioning and weighing, object classification and tracking, and safety applications. 3D smart sensors can also improve efficiency and reduce costs by accelerating decision-making, minimizing errors, and elevating the overall quality of packaging and logistics processes. They are compatible with various software platforms and automation technologies, and their capabilities are expected to be further enhanced by artificial intelligence, machine learning, and the Internet of Things (IoT).

Points of Discussion:

Quality control applications
Advancements in Logistics Automation
Cost Savings and Sustainability
Enhanced Efficiency and Accuracy

15:30-16:15 Hrs

Future Trends and Innovations in Machine Vision

Several trends, like machine vision in Logistics 4.0, are anticipated to have a major impact on the market and lead to significant advancements. These include 3D vision for accurate measurements and object recognition, augmented reality overlays for real-time guidance, edge computing for quicker analysis at the network edge, collaborative robots powered by machine vision, blockchain integration for secure traceability, predictive analytics for proactive decisionmaking, and sustainability focus for environmentally friendly practices, among many others. These advancements will completely transform logistics operations, improving accuracy, efficiency, and sustainability. Machine vision in the logistics sector will bring about dramatic advances, benefiting both businesses and customers, from accurate measurements to secure traceability.

Points of Discussion:

Challenges In Implementing Machine Vision
Emerging trends and advancements in machine vision technology
Predictive analytics for proactive decision-making
Future trends through AI, ML, IoT
Ethical and privacy considerations
Future of autonomous vehicles and machine vision

13 FEB - 15 FEB 2025

CONFERENCE ON MACHINE VISION