Automating the harvest with Artificial Intelligence

Live fruit image recognition

Summary

Trascender Global has developed live image recognition software that utilizes computer vision and artificial intelligence to automate the harvesting process in agriculture. The apple classification model we created allows for more accurate and faster fruit counting compared to traditional methods, thereby improving the efficiency of the harvesting process. This technology is not limited to the agricultural sector alone but can be employed in any industry that requires precise and swift object recognition through image or video-based selection processes.

Success Story

German company Fuxware successfully automated the fruit harvesting process using live image recognition, harnessing the power of computer vision and artificial intelligence. The application of this technology enabled the classification of apples with astonishing precision and speed, resulting in a significant boost in economic production. Fuxware brought innovation to the agricultural industry by employing a camera-equipped robot to locate fruits in their respective crops, while the classification model utilized algorithms to count and classify apples based on their ripeness and biological performance. The results obtained were highly accurate and fast, promising a bright future for the application of this technology in other markets.

Development through Camera Technology

Computer vision and artificial intelligence make it possible to automate counting and classification processes in agriculture with precision and speed. This is particularly crucial for measuring the economic performance of a production and fruit ripeness, which traditionally relied on human counting. With the implementation of the technology developed by Trascender Global, producers can rely on more precise data for decision-making. Moreover, the automation of these repetitive and tedious tasks for farmers saves resources and promotes technological improvement in agriculture.

Technologies Used

  1. Live Image Recognition: This technology is based on computer vision and artificial intelligence for recognizing and processing real-time images. It is used to automate the harvesting and classification of apples in agriculture.
  2. Computer Vision: Computer vision is a branch of artificial intelligence that enables machines to interpret and understand the content of images or videos. In this case, it is used to analyze live images and make decisions based on visual content.
  3. Artificial Intelligence (AI): Artificial intelligence is used to develop classification models and algorithms that can recognize and count apples accurately. This involves the use of machine learning algorithms and neural networks to perform image processing tasks and decision-making.

Where It Can Be Used?

The versatility of this technology allows for implementation in various industries, including:

  • Agriculture: For automating harvesting and precise classification of fruits and agricultural products.
  • Marketing: In advertising campaigns and image and video analysis to identify objects and effectively segment audiences.
  • Warehousing and Distribution: In warehouses, supermarkets, storage facilities, and distribution centers for tracking and efficiently classifying products.

How It Can Be Useful?

The capabilities of live image recognition offer significant benefits, such as:

  • Automating Harvesting: In the agricultural sector, this technology automates the harvesting process, allowing for precise classification of fruits and products, thus improving efficiency and reducing the need for human resources.
  • Effective Audience Segmentation: In marketing, object recognition in images and videos allows for precise audience segmentation, enhancing the effectiveness of advertising campaigns.
  • Product Management Improvement: In storage and distribution, the technology enables precise tracking and efficient product classification, enhancing inventory and distribution management.
  • Resource Savings and Technological Advancement: The automation of repetitive tasks in agriculture saves resources and promotes technological advancement in various industries.

What Our Client Says About Their Experience

“They provided high-quality work and the ability to deliver projects within a very tight timeframe. Moreover, it was very easy to get timely responses to questions via email, discuss issues and results through video conferences, and communication and feedback were straightforward. I would highly recommend them and would also look to this team for future projects.”

If you are looking to transform your corporate process and leverage these capabilities, consider scheduling a free meeting to explore how this technology can take your company to the next level through digital transformation.

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Fuxware Solutions

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