Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the logistics industry. This time, you get to discover 5 hand-picked computer vision solutions impacting logistics companies.
Out of 835, the Global Startup Heat Map highlights 5 Top Computer Vision Solutions impacting Logistics Companies
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 835 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 830 computer vision solutions for logistics, get in touch.
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Vector provides Paperwork Automation
Logistics involves a trail of paperwork from suppliers, intermediaries, and customers. Manually managing and analyzing this information is time-intensive and inefficient. Despite the digitization of most receipts and forms, manual investigation leaves space for mistakes, affecting productivity. Because of this, startups offer artificial intelligence (AI) solutions such as machine learning and computer vision to automate paperwork handling.
British startup Vector develops computer vision for invoices and receipts. The solution is an AI scanner that reads and analyzes all the paperwork within a facility. The computer vision application reads barcodes and plain texts. The scanner then parses PDFs, emails, images, and invoices. As a result, it streamlines workflows for logistics teams through real-time content. A customer operations dashboard also prioritizes activities for business development teams. The startup, in effect, centralizes all documents generated within a company or facility.
Awake.AI offers Maritime Logistics Space Optimization
Optimizing space in freighters and ships is crucial since each container increases revenue potential per trip. Machine learning (ML) assists in optimization and space allocation. However, static data does not enable real-time status updates or information. It is therefore not ideal for space management and container placement. To this end, startups develop computer vision solutions that dynamically optimize the space allocation of containers for ships.
Finnish startup Awake.AI develops computer vision solutions for maritime logistics. The solution leverages light detection and ranging (LIDAR) and computer vision-based object detection and tracking along with machine learning models. Resource allocation planning and real-time analytics optimize criteria such as area usage per cargo unit. Besides, it does not require investing in new hardware as well as enables the detection, classification, and tracking of various types of cargo in port and industrial environments.
VH Technology facilitates Packaging Inspection Automation
Warehouses and fulfillment centers are hubs of package collection and delivery. These facilities typically handle and store thousands of packages daily. Therefore, it is crucial for these centers to ensure that nothing is damaged or fraudulent. However, this process takes up a lot of resources and reduces the efficiency of retail companies, businesses, and traders. Thus, startups provide computer vision solutions that review the specifics of each package and advance inventory quality and maintenance.
Italian startup VH Technology designs inspection automation solutions. The startup develops machine vision systems for quality inspection and robot guidance inside production or assembly lines. They are capable of inspecting packaging integrity, measurement of surface roughness, and label inspections. Further, they measure the product’s physical dimensions. The software and machines fully adapt to customer specifications. The startup also enables automatic cellar management and offers industry 4.0 solutions.
FlytWare enables Drone-based Inventory Management
Transportation of pallets and packages within warehouses is cumbersome. The lack of maneuverability within warehouses impacts productivity. Human efforts also pose limitations on warehouse optimization as well as raise injury risks. For example, it is difficult for human operators to navigate narrow aisles. To this end, startups develop computer vision-enabled robots and drones to assist in package location and retrieval.
US-based startup FlytWare designs drones for inventory management within warehouses. The solution enables inventory search, counting, reconciliation, and audits by drones. FlytWare uses advanced robotics, automation, and computer vision techniques to facilitate indoor autonomous navigation. The drones rely on operation centers, through which managers get video feeds along with step-through location-wise barcodes and images. As a result, warehouses receive assistance on inventory tracking and management, without risking injuries.
AICROBO advances Warehouse Automation
Heavy lifting and manual pallet handling result in injuries and casualties in warehouses and fulfillment centers. Different packages of varying volume, size, and weight also make it difficult for lifting and carrying by human workers. For this reason, computer vision and robotics effectively reduce the risk of injury. For example, pick-and-place robots use computer vision or LIDAR to pick up pallets and place them on corresponding shelves. Thus, startups develop machine vision solutions to improve the safety considerations of logistics companies.
Chinese startup AICROBO delivers robotics and machine vision for logistics. The startup combines double laser scanners, depth cameras, and supersonic scanners to build autonomous mobile robots (AMR) with reliable positioning and navigation systems. The AMRs adapt to dynamic human-machine manufacturing environments. The startup further develops several robots for warehouse automation, including forklift robots, sorting robots, and others. These robots optimize intra-logistics applications including warehouse and manufacturing logistics.
Discover more Logistics Startups
Logistics startups such as the examples highlighted in this report focus on advanced robotics, artificial intelligence, and drones. While all of these technologies play a major role in advancing the logistics industry, they only represent the tip of the iceberg. To explore more logistics technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Logistics Innovation Report to save your time and improve strategic decision-making.
