We Eliminate Weighing Errors with RFID!


We prevent the scale operator from making manual errors and make your scales smart.



Automatic weighing, identification, tracking and administrative reporting of all carrier trucks (excavation vehicles, garbage trucks, etc.) within the scope of automation can be provided. Thanks to the RFID TAGs that will be affixed to the glass of all load vehicles, the automatic identification process will become 100% consistent, eliminating operator dependency.

In the vehicle measurement industry, this is one of the fastest growing sectors. Automation systems provide businesses with a great opportunity to reduce labor costs and increase productivity. By reducing the intervention of office staff in the weighing process, they are freed up to focus on other responsibilities and office activities.


It ensures that sales can be made without interruption during counting.

Inactivating unused material types.

In addition to material and rate table categories, other categories are available to maximize reporting features (location information, etc.)

Stability settings to ensure consistency during weighing.

Transporter information and report generation.

How does the RFID SMART LATCH SYSTEM work?

  • RFID Tags: The first step is to place RFID tags on the objects to be measured (products, packaging, etc.). These tags store the identity of the object and other relevant data. Each tag has a unique identification number.
  • RFID Readers and Antennas: RFID readers are used to read and process the data stored in tags through antennas.
  • Data Processing and Visualization: The reader processes the data from the tags and outputs measurement results. This data is usually saved in a database and can be accessed as needed.

Advantages of the System

100% Automatic

It is a fast system that completely eliminates operator dependency.

Central Government

All transactions performed at multiple locations can be monitored instantly from a single center.

Precise and Fast Weighing

It can measure the weight of objects precisely and quickly.

Time Saving

Time is saved through automated measurement and data collection processes instead of manual measurement and data entry.

Accurate and Easy

Improved customer service through multi-option reporting and readable receipts.

Areas of Use

RFID Smart Scale system is generally used in all areas where RFID technology is used. It can be used in Logistics and Transportation, Energy and Resource Management, Mining and Earthmoving, Food, Retail, Construction Materials, Import and Export and Warehouse.





Intelli Count RFID



RFID forensic escrow system, It is now easier to record the criminal items coming to the forensic escrow office, to count them in the warehouses, to ensure their security and to carry out forensic procedures with RFID technology.

Other Content

Keep following us to be informed about all developments in the field of RFID and IoT. New information and new solutions coming soon…

Forklift Collision Monitoring and Prevention Systems

Forklift Collision Monitoring and Prevention Systems

A forklift collision avoidance system is an important technological solution to improve safety in the workplace. In a busy factory environment, forklifts are essential pieces of equipment to help streamline operations and increase productivity. However, they also pose a great risk to workers due to their accidental use, caused by collisions with other vehicles or applications in their meals. Therefore, it is very important that they invest in technologies that will help them retain these risks and protect their employees.

One of these technologies is the IoT-based forklift collision avoidance system. This advanced safety solution utilizes RFID Readers and sensors mounted on your existing forklift fleet, combined with cloud computing (or software installed on-site) capabilities to monitor the movement of your facility in real time. The forklift collision avoidance system then sends alerts after a period of time across two or more vehicles, providing enough time for operators to take corrective action before any damage occurs.

The lifetime benefits of a Forklift collision avoidance system go beyond avoiding repairs in transit from collisions; this technology also helps to optimize central offices by conserving waiting times between cells and providing surveillance visibility to operations at multiple sites – all while keeping homes out of harm’s way! Furthermore, since the system is built on IoT technologies such as Bluetooth Low Energy (BLE) beacons and Wi-Fi networks instead of traditional GPS tracking systems, you don’t have to worry about additional costs associated with installation or maintenance, making it a smart investment option for any business that previously thought of having the capabilities of its employees!



IoT technology and active RFID technologies can revolutionize the way forklifts work in factories in crash avoidance situations. Using active RFID tags on forklifts and other guards, sensors continuously monitor their movement and position. This link is then transmitted to a central system where the body of each tagged item can be tracked in real time.

With these components, the system detects possible collisions between forklifts and other or pedestrians. In addition, the system automatically applies brakes or reduces speed to avoid a collision.

The benefits of using the IoT concept in a forklift collision avoidance system are many. By providing real-time monitoring, the system helps to optimize traffic management and manage congestion in the factory. This increases overall efficiency. It also helps to show where bottlenecks occur or the need for additional resources.

Furthermore, the system provides valuable values for analyzing and optimizing the operations of the units. This information is used to identify patterns in forklift usage, monitor maintenance needs, and help improve overall safety protocols and training.

In conclusion, integrating IoT technology and active RFID technologies into a forklift collision avoidance system can provide numerous benefits for factories. By improving safety, efficiency and data collection, this technology can help companies better manage their operations and ultimately increase their profitability.

Teknopalas Launches Strategic Cooperation with Augelab

Teknopalas Launches Strategic Cooperation with Augelab

Teknopalas, one of the most important players in the sector in the field of IoT technologies, announced that it has started cooperation with Augelab Technology, a leader in image processing technologies, as an authorized distributor in multiple markets. This agreement will cover the markets of Turkey, Saudi Arabia, Libya and Uzbekistan, bringing a new dimension to technology solutions in the region.

Teknopalas has implemented hundreds of successful projects on IoT technologies in the EMEA region since 2005 and has been at the forefront of technology transformation in the region. Augelab, on the other hand, is a technology company known for its innovations in image processing technologies and offers versatile solutions that can be used in different sectors such as industry, healthcare, retail, ports and warehouses. In particular, Augelab’s no-code platform paves the way for using image processing technologies without the need for coding skills.


Augelab’s plug-in infrastructure allows freelance developers and businesses to develop customized image processing solutions by purchasing an Augelab framework license. This system mainly enables image processing technology to reach more people. This is seen as a step that will fundamentally change the industry.

Teknopalas Launches Strategic Cooperation Agreement with Augelab in Turkey, Saudi Arabia, Libya and Uzbekistan Markets

With the cooperation agreement between Teknopalas and Augelab, Teknopalas will serve as an authorized distributor in Turkey, Saudi Arabia, Libya and Uzbekistan markets. With over 20 years of experience, Teknopalas aims to further enhance the region’s technology landscape by introducing Augelab’s state-of-the-art solutions to these markets.

As a result, this collaboration symbolizes a new era for the technology industry across multiple markets. The companies aim to increase efficiency, foster innovation and strengthen competitiveness by offering state-of-the-art image processing solutions to businesses and organizations.

Speaking about this important collaboration, Fahrettin Oylum from Teknopalas said, “As Teknopalas, we are proud to start this new era by joining forces with Augelab. We have also reiterated our commitment to continue providing world-class solutions to our customers.”


Yunus Emre Çelik from Augelab said, “We look forward to the potential opportunities of this collaboration in Turkey, Saudi Arabia, Libya and Uzbekistan. Combined with Teknopalas’ experience, we aim to transform technology solutions in the region.”

This collaboration brings a new perspective to technology solutions in multiple markets by combining the expertise of two leading companies. Teknopalas and Augelab remain committed to fostering innovation, delivering cutting-edge solutions and further advancing the technology ecosystem in these markets.

For more information about Teknopalas and Augelab in general, please visit and


IoT Smart Agriculture Use Case

IoT Smart Agriculture Use Case

Recent technical advances such as the Internet of Things (IoT) have given farmers the power to dramatically change the way they work. With IoT, farmers add intelligence to analog and mechanical devices. They can streamline processes, gain efficiencies and build stronger businesses overall. Smart farming is the name for this new approach to agriculture and there are many examples across the industry.

Gathering information such as environmental conditions improves the quality and quantity of produce while minimizing risk and waste. The technology also adapts to specific machinery and systems, such as tractors. It uses the data collected to provide a complete real-time view of operations. Smart agriculture affects every aspect of the farming process. Smart farming solutions have gained increasing traction and acquisitions are on the rise. The global smart agriculture market reached $14.1 billion in 2021. It is expected to grow to $25.25 billion in 2027, exhibiting a CAGR of 9.8 percent. Here are five examples of how smart agriculture is changing farming.

Examples of Smart Agriculture

1: Land Management

In the agricultural industry, land is seen as the foundation of everything. Growing and harvesting crops fluctuates constantly. It therefore greatly affects a business. With IoT, farmers can do all of the following:

Learn about soil composition, rainfall and temperature to maximize soil performance.

Decide whether pesticides or fertilizers need to be added or removed.

Rely on irrigation sensors that can monitor soil dryness and operate sprinklers accordingly.

Agribusinesses gain real-time visibility into soil vigor and unique soil conditions to get the most out of the land. IoT gives farmers the ability to learn more about what’s happening so they can manage proactively, not reactively.

2: Product Monitoring

Farmers want to achieve consistent crop quality and avoid various deviations, and IoT helps with this. Sensors continuously monitor items such as leaf quality, color and root strength. Then compare current measurements with historical data and determine how well the crops are growing. With IoT, farmers can do all of the following:

Better predict the production flow.

See crop growth.

Watch out for any abnormalities such as diseases, pest infestations or harsh climate that will reduce yields.

Understand what their final output will be.

Set better expectations.

Improve product distribution.

Monitor operating expenses more accurately.

Know when to plan the next shipment of seeds and grain.

This way the business flows more consistently. Once the finished product is in distribution, the next batch is ready to be planted. Insights reduce production risks and empower farmers. So they don’t face crop shortages and income cuts.

3: Predictive Maintenance

Another critical smart agriculture example is predictive maintenance. The advent of smart IoT sensors enables suppliers to collect device performance information as equipment functions. AI, machine learning and data analytics measure the typical efficiency, wear and tear of an asset based on items such as vibration analysis, oil analysis and thermal imaging. Predictive models have algorithms that determine when an asset needs to be serviced or repaired. Benefits include:

Extended machine life.

Reduced downtime.

Increased employee productivity.

Data from the US Department of Energy shows that predictive maintenance is extremely cost-effective. Implementing a predictive maintenance program provides

A tenfold increase in ROI

25-30 percent reduction in maintenance costs

70-75 percent reduction in breakdowns.

35-45 percent reduction in downtime.

In essence, farmers get a much better way to keep their equipment running at peak performance.

4: Livestock Management

Traditional livestock monitoring methods relied on individuals manually inspecting animals and looking for signs of disease or injury, a costly, highly unreliable and inefficient method. IoT livestock management solutions take the guesswork out of determining an animal’s health. How does IoT livestock management work? Battery-powered sensors using a wearable collar or tag monitor an animal’s location, temperature, blood pressure and heart rate.

The information is sent wirelessly to an app in near real time. Farmers access the information through their mobile devices and are thus able to

Check the health and location of every animal in their herd from anywhere.

Get alerts if a metric falls outside the normal range.

Know immediately which animals are affected and which are not.

Plus, farmers no longer need to physically examine each animal’s vital organs to see if a disease is spreading. Temperature monitoring helps identify the peak of the mating season. Livestock monitoring solutions use tracking to collect and store historical data at preferred grazing points. Keeping livestock healthy is important. Because if they get sick, their development lags behind their cohort. Such animals typically fail to keep up with the rest of the herd and become less valuable to the farmer. With this example of smart agriculture, farmers are gaining more insight into the health and well-being of their animals.

5: Process Automation

Farmers need to increase their yields. Decades ago, farmers started replacing manual work with machines. Now IoT offers them the next step in this process:

Computer technology to take over jobs typically done by hired hands.

Streamline repetitive manual tasks such as watering, fertilizing, pest control and even planting seeds.

Review large volumes of performance data such as crop growth, herd feeding and soil conditions.

Find deviations.

Automatically send alerts to staff smartphones when needed.

With these capabilities, they become more knowledgeable and more proactive. They see problems, investigate the problem, troubleshoot, create workarounds and work faster and more efficiently.

A Competitive Industry

Farming is a mature, highly competitive and intensive industry. The smart farming examples above highlight this. Emerging IoT technology streamlines operations in areas such as soil management, predictive maintenance and automation.