Applications
In-Cabin: Driver/Occupant Monitoring Systems (DMS/OMS)
Electronic Mirrors
Camera Monitor Systems (CMS)
ADAS
Surround View System
Rearview Camera System
Robotics
Industrial
Mobility
In-Cabin: Driver/Occupant Monitoring Systems (DMS/OMS)
OMS/DMS use multimodal sensing and camera-based vision to assess driver alertness, monitor occupant behavior, ensure safety, enable personalized features, and enhance in-cabin experiences.
Electronic Mirrors
Replacing traditional mirrors indie’s image processing solutions offer ultra-low latency and dewarped fields of view to enable drivers with a clear, unobstructed, panoramic rearward view.
Camera Monitor Systems (CMS)
Blending multiple cameras and displays, our solutions offer improved visibility, reduced blind spots, enhanced safety, and better aerodynamics for modern vehicles.
ADAS
indie’s high-throughput, low-latency image signal processing technology and industry-leading eWarp© enable emerging ADAS safety features such as automatic emergency braking (AEB), lane keep assist (LKA) and vulnerable road user (VRU) protection.
Surround View System
Our ISP processing solutions support multiple ultra-wide-angle cameras and advanced image stitching algorithms to deliver a seamless 360-degree top-down view, enhancing vehicle maneuverability and situational awareness.
Rearview Camera System
Utilizing our proprietary eWarp technology, indie offers industry-leading distortion correction, creating a clear, ultrawide FOV with no blind spots. In addition, indie’s products include advanced graphics to provide overlays for dynamic parking lines.
Robotics
Enabling precise navigation, object detection, and manipulation by using advanced imaging sensors, computer vision, and AI for tasks like inspection, automation, and human interaction.
Industrial
Using high-resolution sensors and cameras, our solutions support machine vision for tasks like quality control, defect detection, automation, and real-time monitoring in manufacturing environments.
Mobility
Mobility for AMR/AGVs uses advanced sensors, cameras, and AI to autonomously navigate predefined paths, optimizing material transport, improving efficiency, and reducing human error.