Organizations from every industry are looking to increase automation to improve processes, efficiency, and safety. From repetitive tasks on the factory floor to activities in agriculture, logistics, hospitality, and more, the use of autonomous machines/robots is changing how business gets done. An autonomous machine or a robot use a sophisticated set of sensors, artificial intelligence, machine learning, and compute for path planning to interpret and navigate through their environment. They use a navigation technique like collision avoidance to slow, stop, or reroute their path around the object and then continue with their task. Manufacturing, Logistics, Healthcare, Retail and Smart Cities are key verticals who have invested significantly in autonomous machines deployment.
In order to enable AMR deployment, eInfochips has developed a Robotics Centre of Excellence (CoE) and a strong team of subject matter experts in the field hardware design, sensor integration, AI/ML and camera development. Being a strategic partner with leading platform providers like NVIDIA, Qualcomm and ADI, our team has developed multiple proof-of-concepts by leveraging their robotics-specific hardware and software tool chain.
Why eInfochips?
Specific Modules, Evaluation kits and Proof-of-Concepts for AMR deploymen
Comprehensive expertise on Robotics Operating System (ROS)
State-of-the-art infrastructure – Hardware Lab, Image Tuning Lab and Wireless / RF testing lab
Strong experience in AI/ML, Model development and training
Partnership with Amazon and Microsoft for cloud enablement
Proof of Concept and demo for different use cases
Hardware Design
Sensing
Connectivity
Other
Qualcomm – QRB5165 Robotics platform
Nvidia
Jet carrier board
NXP – i.MX93 development platform
Face on Edge: Real Time Face Recognition on Snapdragon 845
Extreme value machine: An algorithm for open set classification
Success Stories