Where other sensors fall short, the camera shines!
The advantages of cameras as a universal sensor are their versatility, precision, and cost−effectiveness, making them an indispensable tool in the modern age of technology.
We have developed a solution that transforms ordinary cameras into Pseudo–LiDAR systems by using Computer Vision and artificial intelligence. This technology captures 3D data from the environment using a standard 2D camera.
Our patented technology enables detailed street/highway traffic analysis in 3D and can be used in a range of applications. We can fuse data from multiple sources to create a more accurate, comprehensive view of the scene, even in challenging conditions. It runs on the edge without the need for a remote server.
This technology provides our clients with access to powerful 3D sensing capabilities, enabling them to unlock new possibilities and drive innovation.
Company Details
- Employees
- 5
- Founded
- -
- Address
- 15 Locust St, Greenvale,new York 11548,united States
- Phone
- +1 (760) 463 3233
- in****@****see.com
- Industry
- Information Technology & Services
- Website
- machinecansee.com
- Keywords
- Artificial Intelligence, Software Development, Hardware Development, Edge AI, Computer Vision, Parking Automation, Internet of Things, Data Science, Smart City, Autonomus Driving.
- HQ
- Greenvale, New York
Machine Can See Questions
Machine Can See's helpline number is +1 (760) 463 3233
Machine Can See's website is machinecansee.com
Machine Can See's LinkedIn profile is https://www.linkedin.com/company/machine-can-see
Machine Can See has
5 employees.
View email and phone details for 5
employees at Machine Can See.
Machine Can See's industry is
Information Technology & Services
Machine Can See's top competitors are
Optimus Cloud And Ai Solutions,
Growthlabs,
Kaza.rs,
Abudhabi Autonomous Racing League,
Smartcat.io,
Infinity Games,
Ns Web Development Llc Novi Sad,
Cinteraction,
Prometheus,
Ethernal.
Machine Can See's support email address is info@machinecansee.com
Machine Can See's categories are Information Technology & Services
Machine Can See's founding year is 2019
