AR0830 Color 4K HDR MIPI Camera

The camera is a 4K HDR MIPI camera based on AR0830 CMOS sensor from Onsemi Hyperlux LP family, integrated with an on-board ISP that supports key features like Enhanced Dynamic Range (eDR), Line Interleaved HDR (LI-HDR), Wake-on-Motion (WOM), Super Low Power (SLP) mode, Auto Exposure, Auto White Balance, and more. The camera supports image capture in BMP format and video streaming in YUV format. This 4K HDR MIPI camera supports both 2-Lane as well as 4-Lane MIPI CSI-2 Interface and has been tested with platforms such as Raspberry PI, Nvidia Nano, and Nvidia XavierNX.
 
Click Here to View Detailed Specifications of Vadzo AR0830 Color 4K HDR MIPI Camera.
 
Camera Overview: 
Sensor: 1/2.9” Sensor with 1.4 µm pixel size. Based on BSI 2 Technology. 
Resolution: 720p, 1080p, 4K (3840 x 2160).
Lens Details: S Mount (M12 Standard) with customizable field of view options (Default 74DFOV).
Dimensions: 38mm(L) x 38mm (B) convertible to 32mm(L) x 32mm(B).
Board 1: Camera Module housing sensor, ISP, Lens, Lens Holder. 
Board 2: Adapter Board for either 2-Lane MIPI-2 Termination or 4-Lane MIPI CSI-2 Termination. 
Conformity: ROHS3 Compliant, REACH Compliant. 
Platforms Supported: Raspberry PI, Nvidia Nano, Nvidia XavierNX.
 
Application Areas: 
 
Smart Security Camera: Wearables, Vision-based Biometrics, Smart Access, Facial Recognition, Day/night Video Recording, Smart Parking, Pedestrian Safety.
Retail In-store Camera: Customer Behaviour, Inventory Management, Self-checkout Systems.
Machine Vision Camera: Product Inspection & Quality Control, Assembly Robots, AGVs (Automated Guided Vehicles).
Kiosk Camera: Retail Kiosks, Document Scanning, OCR, Barcode Reading, Facial Recognition, Demographic Analysis.
Digital Signage Camera: Interactive Advertising, Facial Recognition, Audience Measurement, Demographic Analysis.
 
Key Features: 
Auto Control: Auto-Exposure, Auto White-Balance, Auto-Gain.
Imaging Performance: Enhanced Dynamic Range (eDR) & Line Interleaved HDR (LI-HDR) modes, Wake-on-Motion (WOM).