We are in IP Cameras
Support devices that make places smarter and safer for people
IP Cameras (IP stands for Internet Protocol) was first released in 1996 and has drastically changed the camera market. Since then, IP Cameras have evolved beyond security and surveillance with the proliferation of high-speed bandwidth and chipsets with improved data processing capabilities.
AnyConnect is designed to support smart, connected, and multi-functional IP Cameras. Our platform holds foundational patents and technologies that guarantees connection and connectivity. Vision Platform Library holds APIs to computer vision and machine learning technologies that expand your business offerings.
We understand the competitive nature of IP Cameras, and it drives us to innovate and keep up with your budget, timeline, expectations, and market changes.
We support IP camera manufacturers with
High-resolution, low latency video recording, and streaming.
Supported by a stable, secure cloud infrastructure supporting incremental cloud-based services and capabilities.
HD Night Vision
Algorithms that optimizes night vision, brightness, contrast, and frame rate for efficient recording, playback, and streaming.
Powerful video analytics capabilities to process the customer’s video data stored in our cloud and provide valuable insights that OEMs/ODMs can leverage for incremental revenue from customers.
Computer vision capabilities for facial recognition, behaviour classification, and motion analysis.
Supports additional features like event-based lullaby and distress identification.
IP Security Cameras
IP Security Cameras have evolved from being just a simple device for recording videos and storing them on the internet to a device that can participate in enhancing security.
Our platform supports IP Camera manufacturers with the following key features and more:
- High-resolution, low latency streaming, and cloud-based recording.
- Computer vision capabilities for object classification, facial recognition, behavior classification, and motion analysis.
- Machine learning applications for automated surveillance and smarter object classification.
- Advanced algorithms for optimizing night vision, brightness, contrast, and frame rate.
- Edge/Cloud recording and video analytics.