Amazon recently announced its plan to use drones to deliver packages in the UK by the end of 2024. Amazon has been investing in drone technology for a decade now, but currently, its drone delivery services are limited to a few regions and primarily cover the delivery of non-pharmacy products such as home goods, office supplies, and beauty products. To drive business growth, Amazon has decided to expand its drone delivery services to the pharmaceutical industry.
After purchasing medication from Amazon Pharmacy, users will be able to receive fast delivery within 60 minutes through drone services. This initiative aims to meet consumer demand for rapid medication delivery, which is particularly important in emergency situations. To drive business growth, Amazon has decided to expand its medication delivery services to the pharmaceutical industry.
The launch of drone delivery services will bring new growth opportunities to the e-commerce industry and foster further advancements in technology innovation and the drone industry, opening up new possibilities for future delivery methods.
Absolutely, in addition to that, we can also expect to see more drones playing a role in other industries, such as agriculture, mapping, and more. Indeed, the development of drone technology undoubtedly brings forth more possibilities for both our personal lives and work environments.
However, drone product design faces certain challenges. For the purpose of targeted application in various scenarios, many drones adopt a modular design, which means incorporating additional expansion modules beyond the basic flight control system to achieve different functionalities.
While this design approach offers flexibility, it increases the overall weight of the drone to some extent. As a result, the size of the drone is limited. If the size is too small, it may not be able to accommodate the necessary expansion modules.
On the other hand, if the size is too large, it can increase power consumption and reduce battery life, affecting the overall flight endurance of the drone. Debugging and adaptation can also be a complex process.
For drone product design and development, using a highly integrated processor with more advanced features as the drone's main controller is a more suitable choice. This allows for the integration of required functionalities directly into the drone, tailored to meet the specific needs of different fields.
In this way, it is possible to better control the size of the drone, while balancing performance, size, and endurance. Forlinx Embedded recommends using the FET3588-C SoM as the main controller for a highly integrated drone.
Forlinx Embedded's FET3588-C SoM is developed and designed based on Rockchip's RK3588 processor. It integrates a quad-core Cortex-A76 and quad-core Cortex-A55 architecture. The A76 cores have a clock speed of up to 2.4GHz, while the A55 cores have a clock speed of up to 1.8GHz, providing powerful performance support. The FET3588-C SoM has also undergone rigorous testing to ensure stability and reliability for customers' high-end applications.
In terms of the most fundamental shooting functions of drones, the Forlinx Embedded FET3588-C SoM is also highly capable. It introduces the new generation 48 million pixel ISP3.0, which allows for lens shading correction, 2D/3D noise reduction, sharpening and fog removal, fisheye correction, gamma correction, and wide dynamic contrast enhancement effects. These features significantly enhance the image quality and are suitable for customers with special image requirements.
RK3588 has undergone significant improvements in integer operations, floating-point operations, memory, overall performance, power consumption, and core area. It also features a wide range of high-speed data communication interfaces, meeting the diverse needs of various industries.
Additionally, it is equipped with Rockchip's self-developed tri-core NPU, which can work in collaboration or independently, allowing for flexible allocation of computational power and avoiding redundancy. The integrated NPU can deliver up to 6 TOPS of computing power, empowering artificial intelligence applications and providing more possibilities for expanding the application scenarios of drones.
Drones have penetrated into numerous industries, and the increasingly fierce competition has driven drones to develop and improve in the directions of intelligence, miniaturization, and systematization. In the selection of drone controllers, there will also be a greater preference for more versatile, all-encompassing, and powerful platform.
The above is the drone controller selection scheme recommended by Forlinx Embedded, based on the FET3588-C SoM. We hope this can be helpful to all engineers.
After purchasing medication from Amazon Pharmacy, users will be able to receive fast delivery within 60 minutes through drone services. This initiative aims to meet consumer demand for rapid medication delivery, which is particularly important in emergency situations. To drive business growth, Amazon has decided to expand its medication delivery services to the pharmaceutical industry.
The launch of drone delivery services will bring new growth opportunities to the e-commerce industry and foster further advancements in technology innovation and the drone industry, opening up new possibilities for future delivery methods.
Absolutely, in addition to that, we can also expect to see more drones playing a role in other industries, such as agriculture, mapping, and more. Indeed, the development of drone technology undoubtedly brings forth more possibilities for both our personal lives and work environments.
However, drone product design faces certain challenges. For the purpose of targeted application in various scenarios, many drones adopt a modular design, which means incorporating additional expansion modules beyond the basic flight control system to achieve different functionalities.
While this design approach offers flexibility, it increases the overall weight of the drone to some extent. As a result, the size of the drone is limited. If the size is too small, it may not be able to accommodate the necessary expansion modules.
On the other hand, if the size is too large, it can increase power consumption and reduce battery life, affecting the overall flight endurance of the drone. Debugging and adaptation can also be a complex process.
For drone product design and development, using a highly integrated processor with more advanced features as the drone's main controller is a more suitable choice. This allows for the integration of required functionalities directly into the drone, tailored to meet the specific needs of different fields.
In this way, it is possible to better control the size of the drone, while balancing performance, size, and endurance. Forlinx Embedded recommends using the FET3588-C SoM as the main controller for a highly integrated drone.
Forlinx Embedded's FET3588-C SoM is developed and designed based on Rockchip's RK3588 processor. It integrates a quad-core Cortex-A76 and quad-core Cortex-A55 architecture. The A76 cores have a clock speed of up to 2.4GHz, while the A55 cores have a clock speed of up to 1.8GHz, providing powerful performance support. The FET3588-C SoM has also undergone rigorous testing to ensure stability and reliability for customers' high-end applications.
In terms of the most fundamental shooting functions of drones, the Forlinx Embedded FET3588-C SoM is also highly capable. It introduces the new generation 48 million pixel ISP3.0, which allows for lens shading correction, 2D/3D noise reduction, sharpening and fog removal, fisheye correction, gamma correction, and wide dynamic contrast enhancement effects. These features significantly enhance the image quality and are suitable for customers with special image requirements.
RK3588 has undergone significant improvements in integer operations, floating-point operations, memory, overall performance, power consumption, and core area. It also features a wide range of high-speed data communication interfaces, meeting the diverse needs of various industries.
Additionally, it is equipped with Rockchip's self-developed tri-core NPU, which can work in collaboration or independently, allowing for flexible allocation of computational power and avoiding redundancy. The integrated NPU can deliver up to 6 TOPS of computing power, empowering artificial intelligence applications and providing more possibilities for expanding the application scenarios of drones.
Drones have penetrated into numerous industries, and the increasingly fierce competition has driven drones to develop and improve in the directions of intelligence, miniaturization, and systematization. In the selection of drone controllers, there will also be a greater preference for more versatile, all-encompassing, and powerful platform.
The above is the drone controller selection scheme recommended by Forlinx Embedded, based on the FET3588-C SoM. We hope this can be helpful to all engineers.
