Dialogue with the Executive Part 1

What will be the growth of machine vision applications in the Chinese market and the global end product sector in the next few years? Under the background of Made in China 2025, how will the enterprise's development strategy be adjusted? What technology convergence will the company focus on in the future?

China (Shanghai) Machine Vision Expo 2021 launched the "Vision Dialogue Executives", invited exhibitors executives to have a dialogue. What do executives think of the above questions? Let's listen to the following steps.

The picture

Introduction: Wang Tangmeng (CEO)

Jiangsu Headway Intelligent Technology Co., Ltd

Q: Under the background of Made in China 2025, equipment manufacturing is the core and pillar of the manufacturing industry. What is your company's development plan and strategy in 2021? How to better apply the company's products to the equipment manufacturing industry?

A: Manufacturing is the main body of the national economy, is the kingdom, and the device, the power base, 2025 to achieve made in China made in China to created in China, China's speed to the Chinese quality, Chinese products to the Chinese brand of three shifts, so 2021 plover figure intelligent dinosaurs strong will launch its own brand series 3 d camera, traditional machine vision industry, With the maturity of the domestic machine vision industry and the profound technology, we are fully equipped with the ability of independent research and development. Headway will also further expand the camera research and development of its own brand and expand the existing product line. And the actual needs of users will be more widely implemented into the products, and effectively help users to achieve flexible production of floor style.

Q: In the next two to three years, which end product areas do you think will see growth or new market demand for machine vision applications in China and globally? How will your company deal with it?

A: As domestic 5 g comprehensive deployment, boosting the OLED and 3 c, semiconductor chips, and other industries demand, including the automotive industry to the intelligent integral transformation, as well as the new crown outbreak to living areas such as security, AI, accelerated the outbreak of the machine vision industry demand in the future, then the plover figure intelligent with an indicator of the market, in addition to growing its own research and development strength, It will also combine different market demands and deploy the development strategy of the enterprise to respond to different market and industry demands.

Q: With the current innovative technologies, such as edge computing, artificial intelligence, deep learning, embedded vision, 5G+, etc., which innovative technologies will your company focus on integrating in the future?

A: Indeed, cross-border cooperation and technical integration is the development trend of and visual industry, is also a direction of the future development, with the advent of 5 g data network, the future development of new artificial intelligence and deep learning system will be increased, we will be more and more attention to artificial intelligence and in-depth study, the machine vision technology combined with deep learning to apply to more flexibility in production.

Highlights of your products and solutions

In this exhibition, Headway will fully launch the Raptor VR series, a self-developed 3D intelligent camera with a wide range of surface scanning and structured light. Headway Intelligent Velociraptor VR series 3D camera adopts structured light phase shift technology and NVIDIA CUDA core, which has very strong graphics computing power. It can scan in a full range at a scanning speed of 3fps. It adopts DLP projection technology, and its field of view covers 300mm-3800mm. It can be easily applied in industrial scenarios such as palletizing, disordered grab, positioning and guidance, with both functionality and cost performance.

Functional features:

• Use the principle of structured light for one-time imaging without the need for relative motion between the camera and the object

• Use a 3.2 mPixels camera for imaging, with a point cloud scale up to 3.2M

• Adopt RGB image sensor to obtain high-precision color point cloud image

• Built-in GPU, using GPU to accelerate point cloud computing, the fastest generation of point cloud frame rate of 3.3Hz

• Wide detection range, covering 300mm-3800mm detection field

• Provide flexible SDK interface, easy to call in either Windows or Linux environment