Hanwha Techwin’s latest proprietary chipset , Wisenet7, offers industry leading cybersecurity functionality, as well as delivering clear, sharp images in all lighting conditions. The Wisenet7 chipset boasts an impressive list of technologies which are designed to improve the cybersecurity credentials of Wisenet cameras.
Secure Boot Verification provides an extra layer of security by ‘sandboxing’ different elements of a camera’s operating system. A full boot is completed before there is communication with any other part of the system. This prevents interruption to the boot process which could be exploited by a hacker.
Wisenet7 uses a separate secure operating system (OS) for encryption and decryption, as well as for verifying that apps have not been modified or are not forgeries. A separate Linux-based API is needed to access the Secure OS, without which there is no way to make any changes from the outside of a camera.
Anti-hardware cloning prevents Wisenet7 from being cloned. In addition to protecting intellectual property, this ensures that a Wisenet7 chipset is a genuine copy and removes the risk of a cloned device which may contain malicious software being used to steal sensitive data, such as passwords.
Secure JTAG ports prevent criminals from gaining low level control of a camera via a JTAG port and replacing firmware with a malicious version. Wisenet7 prevents this from happening as it secures JTAG ports via a key-based authentication mechanism to which only authorised personnel working for Hanwha Techwin have access.
Secure UART ports prevent hackers attempting to access sensitive information, such as password keys. By enforcing restricted and secure access to the UART port, Wisenet7 allows the debugging process to be safely completed without opening the door to cyber criminals.
In addition to the major improvements in cybersecurity, the fWisenet7 chipset also ensures users will benefit from superb quality images, regardless of the lighting conditions. A new ‘extreme’ Wide Dynamic Range (WDR) feature utilises new Local Contrast Enhancement and Scene Analysis technologies to capture clear images from scenes containing a challenging mix of bright and dark areas.
Low light performance has also been considerably improved with the introduction of 3D noise reduction technology which, whilst minimising motion blur, uses several filters to isolate and remove pixels that are causing noise. In addition, a new noise reduction algorithm improves the edge and colour of objects.
An advanced Lens Distortion Correction (LDC) feature more accurately corrects the distortion caused by wide-angle lens compared to conventional LDC and delivers images which more closely represent how humans see across a wide field of view.
Additional Wisenet7 features include a video analytics suite which includes face and body detection, as well as audio, defocus, directional and shock detection; audio analytics which recognise critical sounds such as raised voices, screams, broken glass, gunshots and explosions, and generate an alert to enable security personnel to quickly react to any incidents; Digital Image Stabilisation (DIS) supported by gyro sensors to offer accurate image stabilisation when a camera is disturbed by wind or vibrations; WiseStream II, a complementary compression technology which dynamically controls encoding; on-screen display (OSD) which supports vector graphics with no colour limitations.
