Ambarella CV2: Full Analysis of Security Video Encoding & Vision SoC

Ambarella CV2: Release Date & Industry Position

Ambarella launched the CV2 series (such as CV22/CV2FS) based on the CVflow architecture between 2018 and 2020. Positioned as a professional SoC for 4K video encoding and efficient visual inference, it is widely adopted in high-end security cameras and automotive cameras.

Ambarella CV2: Sales Volume & Market Acceptance

Benefiting from Ambarella's long-term technical accumulation in video encoding and ISP pipelines, the CV2 series has maintained stable shipments in the global high-end surveillance market. It is particularly preferred in projects with stringent requirements for image quality, low-light performance, and real-time encoding latency.

Key Security Application Scenarios of Ambarella CV2

•Local encoding and visual preprocessing for high-end 4K/8K security cameras.

•Image optimization and event detection for automotive cameras and DVRs.

•Low-latency H.265 encoding and hardware-accelerated inference for multi-channel videos.

Ambarella CV2's image pipeline performs exceptionally well in low-light and wide dynamic range scenarios.

CV2 Series & Other Popular Products

The CV2 belongs to Ambarella's CVflow family. Its competitors include the Qualcomm QCS series, NVIDIA Jetson (focused on AI inference), and Intel Movidius (focused on lightweight inference). Ambarella's advantage lies in its highly optimized video processing pipeline and low-latency encoder.

Ambarella CV2 vs. Previous Generations

Compared to the earlier CV1 series, the CV2 has achieved significant improvements in DNN inference efficiency, encoder performance, and ISP capabilities. It supports higher-resolution and lower-latency video streams, enabling more accurate visual detection and higher-quality video storage at the edge.

Ambarella CV2 vs. Industry Competitors

•Vs. Qualcomm QCS Series: Ambarella excels in professional video pipelines and ISP performance; QCS has advantages in system-level communication and ecosystem support.

•Vs. NVIDIA Jetson: Jetson leads in DNN parallelism and general-purpose inference frameworks; Ambarella is ahead in encoding efficiency and latency control.

Therefore, Ambarella CV2 is particularly suitable for commercial and city-level security projects with strict requirements for video quality and low latency.

Kingrole's Procurement Recommendations for Ambarella CV2

Kingrole advises customers to note the following when procuring Ambarella CV2:

•Prototype Verification for Image Quality & Latency: Conduct quantitative tests on target lenses and visual algorithms.

•Long-Term Authorization & Firmware Support: Through Kingrole, customers can obtain Ambarella-authorized modules and firmware support to avoid compatibility issues.

•Bulk Procurement & Price Negotiation: Kingrole can help customers secure bulk discounts and ensure continuous supply.

Kingrole can provide customers with original Ambarella CV2 modules and mass production docking services, ensuring the on-schedule scaling of projects.