Tag: AI Scanner

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Text Scanning Tire Sidewall

How AI Scanner Help Capture TIN and DOT Numbers to Enable Smarter Tire Tracking

Technician using Scanflow’s AI tire scanner app to scan a DOT code from a tire sidewall inside an industrial facility. The smartphone screen displays the scanned tire details, including DOT code, size, and manufacture date.

In 2020, A Tire Company recalled over 90,000 tires due to potential belt separation. The recall listed partial DOT codes, forcing fleet operators and dealers to manually inspect thousands of tires scrubbing faded sidewalls, jotting TINs on paper, and verifying records by hand.

This isn’t a one-off event. Tire recalls affect millions of units every year, yet most businesses still rely on manual TIN/DOT tracking, leading to slow response times, grounded vehicles, and compliance risks.

Why TIN and DOT Codes Matter More Than Ever

TIN and DOT numbers are more than regulatory labels they are essential for tire traceability, asset identification, and recall readiness. The U.S. National Highway Traffic Safety Administration (NHTSA) reports that a large portion of tire recalls are traceable only through accurate DOT codes.

Without efficient tire identification, service providers and fleet managers face real risks: delays, data errors, and overlooked recalls that can affect safety and compliance.

The Problem: Manual Tire Data Capture Slows Everyone Down

The issue isn’t availability of tire data it’s that manually reading and recording TIN and DOT codes is inefficient, especially on dirty, curved, or worn sidewalls. In fast-paced environments like automotive service centers, tire yards, and distribution depots, expecting technicians to write down codes or use spreadsheets simply doesn’t scale.

One missed or misread code could allow a recalled tire to remain in service risking both safety and regulatory violations.

The Solution: AI Mobile SDK for Tire Identification

Modern solutions like AI scanner mobile SDKs are transforming how tire identification is done. Instead of relying on manual transcription, service teams can now scan tire sidewalls using AI-powered mobile tools that automatically capture TIN and DOT codes even in poor lighting or on aged tires.

The Scanflow Asset Identification Mobile SDK allows OEMs, fleet operators, and service providers to embed intelligent scanning into their own apps or workflows. With it, teams can identify tires instantly and digitally enabling faster recalls, more accurate audits, and smarter inventory tracking without any paperwork.

Conclusion

TIN and DOT codes might be small, but they carry enormous weight when it comes to safety, traceability, and operational efficiency. By using Asset Identification Mobile SDK, automotive businesses can eliminate human error, respond to recalls faster, and make every tire inspection count.

Is your team still relying on eyes and clipboards to track tire safety?

Discover how Scanflow AI can help digitize and automate tire inspections from TIN/DOT scanning to instant digital logging. Request a demo or get in touch

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Text Scanning label capture Logistics Retail Manufacture Barcode scanning

Top 5 Ways Asset Identification Transforms Pharma Pick and Pack Operations

AI asset identification in pharma warehouse: workers using mobile scanning for accurate picking and packing with Scanflow technology

Pharmaceutical companies today face real problems with manual tracking systems that just don’t cut it anymore. Workers spend hours manually entering batch numbers, checking labels, and verifying products  all while dealing with tight deadlines and zero tolerance for mistakes. One wrong batch number can trigger a costly recall. Scanflow’s asset identification SDK changes this completely by using AI mobile scanning to read and verify product information straight from the packaging, making pharma distribution operations faster and more reliable.

How Scanflow Transforms Pharma Operations

1. Batch Number Capture

Manual batch tracking is where most pharma operations lose time and money. Workers squint at tiny printed numbers, type them into systems, and hope they got it right. With thousands of products moving through facilities daily, human error is inevitable.

Scanflow’s system reads batch numbers directly from packages using AI technology. It achieves 98% accuracy rates, which beats manual entry by a wide margin. The system works even when batch numbers are printed on difficult surfaces like curved bottles or glossy labels. No more transcription errors, no more having to double-check every entry, and no more recalls caused by tracking mistakes.

2. Real-Time Inventory Control

Most pharma distribution centers still rely on outdated tracking methods that update inventory hours or even days after products move. This creates blind spots where nobody knows exactly what’s in stock or where specific batches are located.

Scanflow optimizes asset tracking and inventory management, automating barcode processing and improving in pharma distribution and warehouses. The asset identification solution provides real-time visibility into pharmaceutical inventory levels, locations, and movement throughout the pharma distribution supply chain. When products move, the system updates immediately. Integration with existing WMS and ERP systems means inventory records stay current without extra work from warehouse staff.

3. Complete Label Verification in One Scan

Current label checking processes require workers to manually verify multiple data points – expiration dates, lot numbers, NDC codes, dosage information. This takes time and creates opportunities for oversight, especially during busy periods.

Scanflow’s system reads and validates different data fields from pharmaceutical labels in a single scan. This eliminates the tedious manual checking process while ensuring every package meets specifications.

4. Faster Operations With Better Accuracy

Traditional pick and pack operations in pharmaceutical facilities and pharma distribution centers often involve time consuming manual verification processes. Scanflow’s asset identification solution improves operational efficiency by automating multiple verification steps simultaneously. Workers can scan, verify, and process products 70% faster than manual methods.

The system handles product codes, batch numbers, expiration dates, and quality checks all at once. This speed increase means facilities can process more orders per day without adding staff. Workers focus on handling products and solving problems instead of data entry and verification tasks.

5. Complete Product Traceability from Start to Finish

Tracking products through the entire supply chain is mandatory in pharma, but most companies struggle with gaps in their traceability records. When regulators ask for complete product history or when recalls happen, teams scramble to piece together information from multiple systems and paper records.

Scanflow creates an unbroken chain of custody for every product that passes through your facility. Every scan captures location, timestamp, operator ID, and product details automatically. The system tracks products from receiving through storage, picking, packing, and shipping without requiring extra data entry from workers.

When you need traceability information whether for a routine audit, customer inquiry, or recall situation – everything is already documented and searchable. The system shows exactly where each batch has been, who handled it, and when each step occurred. This complete visibility helps companies respond faster to regulatory requests and reduces the time spent investigating product history issues.

Scanflow’s Mobile SDK Technology

Scanflow’s asset identification solution is built on a mobile SDK that works with existing pharmaceutical operations. The platform uses computer vision algorithms trained specifically for pharmaceutical packaging, handling different box sizes, label formats, and printing styles commonly found in pharma distribution.

The scanning technology adapts to various lighting conditions and package orientations that occur in real warehouse environments. The AI learns from each facility’s specific products and improves recognition over time. The mobile SDK works on handheld devices, tablets, and fixed scanning stations, giving companies flexibility in how they deploy the technology.

Business Impact and Measurable Results

Companies using Scanflow’s asset identification solution see results within months of implementation. Labor costs drop significantly when workers stop spending time on manual data entry. Error rates decrease, which means fewer returns, recalls, and compliance issues. Processing speed increases allow facilities to handle more volume without expanding staff.

The system scales across multiple facilities and product lines as companies grow. The technology integrates with existing warehouse management systems without disrupting current workflows. For pharmaceutical operations dealing with increasing volume and tighter regulations, automated asset identification isn’t just helpful it’s becoming necessary for staying competitive.

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Barcode scanning Text Scanning ID Scanning uncategorised Tire Sidewall general vin scanning Quality control

How AI is Transforming Data Capture Across Industries

In today’s fast-paced world, businesses are turning to AI for data capture to collect, process, and manage complex information with greater accuracy and speed. This technology extends beyond simple data extraction, it efficiently handles alphanumeric data like VIN plate scanning, tire sidewall numbers, serial numbers, Bar codes, QR codes etc., ensuring precision even in the most challenging conditions. 

Industries such as automotive, logistics, manufacturing, and retail are integrating AI visual inspection solutions and AI for data capture to streamline workflows, reduce manual errors, and enhance operational efficiency. This shift isn’t just a technological upgrade but it’s redefining how businesses capture and use data in real time.

  1. Expanding Data Capture Beyond Traditional Methods

AI is revolutionizing data capture by automating the collection of complex information across various environments. What once required manual data entry or specialized equipment can now be handled seamlessly by AI visual inspection workflows. 

Key applications of AI in advanced data capture include: 

VIN Plate Scanning: Essential in the automotive and logistics industries, AI quickly and accurately captures vehicle identification numbers, streamlining tracking, registration, and inventory. 

Tire Sidewall Numbers: AI can extract detailed information from tire sidewalls, supporting product verification, recall management, and quality assurance in manufacturing. 

Serial Number Scanning: Useful in electronics and industrial sectors, AI captures serial numbers for inventory tracking, warranty management, and equipment identification. 

Alphanumeric Text Recognition: AI retrieves data from labels, machinery plates, and industrial documentation, ensuring error-free data input and reducing manual workload.

Why it matters?

AI captures data from worn, distorted, or low-visibility surfaces, ensuring accurate collection under challenging conditions. This reduces errors, enhances data consistency, and allows businesses to maintain accurate records without manual oversight. 

  1. Automating Workflows for Greater Efficiency

Manual data entry is labor-intensive and prone to mistakes. AI introduces automation across industries, reducing the need for human intervention while improving accuracy and speed. This is particularly valuable in environments requiring high-volume data capture. 

Benefits of AI-automated workflows include: 

Faster Data Processing: AI captures and processes large volumes of data in seconds, accelerating operations in industries like logistics and automotive. 

Error Reduction: AI eliminates human error by accurately reading and recording alphanumeric information, even from difficult angles or damaged surfaces. 

Seamless Workflow Automation: AI integrates with existing ERP systems, warehouse management software (WMS), and supply chain platforms to automate data transfer and reporting. 

Industries such as manufacturing and retail benefit significantly from automated workflows, as AI can track incoming and outgoing shipments, verify product details, and ensure smooth operational transitions. 

  1. AI for Data capture: From Capture to Insight

AI doesn’t just capture data. Once collected, the data is processed, organized, and integrated with existing systems to provide a comprehensive view of business operations. 

Applications of AI for data management across industries include: 

Inventory Control: In warehousing and logistics, AI tracks product movement and ensures real-time updates, reducing miscounts and stock discrepancies. 

Automated Audits: AI facilitates internal audits by automating the collection and verification of critical data, ensuring compliance with industry regulations. 

Data Accuracy and Reporting: AI improves reporting precision by capturing real-time data across multiple touchpoints, enhancing supply chain visibility and operational transparency. 

By automating data management, businesses can process vast information efficiently while maintaining accuracy, ultimately enhancing decision-making and optimizing resource allocation. 

  1. Industry-Specific Use Cases of AI in Data Capture

AI’s adaptability makes it invaluable across multiple sectors, where it enhances efficiency and reduces human error. Here’s how AI-driven data capture transforms different industries: 

Automotive Industry: AI simplifies VIN plate scanning, improves inventory accuracy, and facilitates compliance tracking across vehicle fleets. 

Logistics & Supply Chain: AI automates serial number scanning for package tracking, delivery validation, and warehouse automation, ensuring faster and more accurate logistics. 

Manufacturing: AI captures tire sidewall numbers and other industrial identifiers, streamlining product lifecycle management and enhancing production efficiency. 

Retail & Consumer Goods: AI supports large-scale inventory tracking and customer data management, improving efficiency in managing supply chains and retail stock. 

Healthcare: AI assists in capturing device serial numbers and alphanumeric codes on medical instruments, ensuring accurate records for regulatory compliance. 

The Future of AI in Data Capture

The future of AI visual inspection solutions is poised to bring even more advanced capabilities to data capture and management. With ongoing advancements, AI will offer: 

Improved Recognition Accuracy: Enhanced models for capturing data from irregular surfaces, low-light environments, and damaged labels. 

Integrated Systems: Seamless communication with broader digital ecosystems, including IoT devices and smart supply chains. 

Scalable Automation: Greater scalability for industries handling high volumes of alphanumeric data, ensuring accuracy across diverse applications. 

Conclusion: AI is Redefining Data Capture 

AI is transforming the way industries handle data capture, moving beyond traditional methods to deliver faster, more accurate, and automated solutions. From VIN plate scanning in the automotive sector to serial number scanning in logistics, AI enhances efficiency and reduces human error across various touchpoints. 

By integrating AI visual inspection workflows and AI for data capture, businesses can automate complex processes, improve operational accuracy, and gain real-time insights. This shift not only optimizes resource allocation but also ensures smoother, more efficient workflows across industries. 

As AI continues to evolve, its applications in data capture will expand, offering smarter, more scalable solutions that drive innovation and operational excellence. Embracing these advanced technologies is no longer optional, it’s essential for businesses looking to stay competitive in a data-driven world.

To stay ahead of this curve, Explore Scanflow AI and see how it can benefit your business operations, visit – https://www.scanflow.ai/get-in-touch/

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Logistics

Container Scanning for Seamless Shipments: How Scanflow enhances efficiency of operations?

Scanflow - shipping container scanners sdk, Logistics Scanner SDK, OCR Serial Number Scanner

Freight containers are generally used to transport raw materials and products across different locations or countries. These containers need to be verified before the shipment and after reaching the destined locations.

During the shipment process, large containers are identified by their container numbers, which are the most crucial information needed to manage the process. These container numbers are usually alphanumeric texts that are displayed on the container. Predominantly, shipping workers rely on manual entry of container numbers and maintaining records of them. However, manual data entry is time-consuming and prone to errors. These manual errors may result in containers being delivered to the incorrect location, causing the shipping process to be delayed.

Scanflow Intelligent text capture helps cargo workers to scan container identification numbers accurately from their smart devices.

Scanflow is an AI scanner on smart devices for data capture and workflow automation. It captures any form of data from Texts, IDs, Numbers, Barcodes, and QR codes. Scanflow Intelligent text capture efficiently scans long serial numbers from containers at any external condition. It can capture any form of alphanumeric text from containers where workers can choose to scan specific frames of serial numbers or scan the whole container to get the data.

By implementing AI-based technologies in workflows, logistics companies can improve their container tracking process more efficiently helping workers to quickly scan and identify containers. Scanflow accurately captures container numbers from any orientation at any external environment be it- low light damaged texts & numbers, or light glares without any errors.

Scanflow technology works with smart devices such as smartphones, wearables, and drones that can be used even offline. The SDK can be integrated into any existing application and is compatible with Android, iOS, and development frameworks like Xamarin, React Native, etc. The data captured from the container is encrypted and securely stored offline. As a result, safety concerns and container fraud can be avoided thereby enhancing the efficiency of the shipping process.

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