Bosch Starlight cameras deliver the highest quality of relevant video surveillance, even in extremely low light conditions. From October, the Starlight portfolio will be even further enhanced thanks to improved light sensitivity, improved front and backlight compensation and higher frame rates as well as a wider choice of resolutions and form factors.
Another compelling enrichment is that all Bosch IP 6000, 7000 and 8000 Starlight cameras will feature Bosch video analytics at the edge as standard instead of an optional feature requiring no additional investment or license fees from the customer.
Bosch feels that offering video analytics at the edge as standard is now a necessity to cater for the ever-increasing demand for details and the proliferation of cameras. Bosch video analytics add sense and structure to video data already at the point of capture (at the edge), enabling end users to effortlessly search through large amounts of video data and pinpoint the information that matters most to them. In this way, end users can take appropriate action faster, easier and more efficiently. It also enables them to reduce network strain and storage requirements by streaming only the data that’s needed.
The complete IP Starlight camera portfolio from Bosch offers a wider selection of resolutions (720p, 1080p and 5 megapixel) and form factors including fixed box, fixed dome or moving dome cameras, as well as extremely rugged moving cameras for when conditions become tough. The Starlight portfolio also offers higher dynamic ranges of up to 120 dB for perfect exposure in all lighting conditions regardless of front and backlight, as well as frame rates of up to 60 fps to easily capture fast-moving objects.
In addition, the latest sensor technology, combined with sophisticated noise suppression, results in a light sensitivity of 0.0069 lux in colour and 0.0008 lux in monochrome for the 1080p models. This enables Starlight cameras to produce full colour images in the dark beyond the point where other cameras have switched to monochrome.
Where other cameras fail to show any image at all, Starlight cameras are still capable of delivering detailed monochrome images.
Video analytics at the edge
Bosch’s video analytics at the edge enables Starlight cameras to interpret data and decide what and when to stream based on configurable triggers, in turn minimising bandwidth requirements if needed. The end results are relevant alerts and key statistics which enhance the accuracy of the video surveillance system, providing relevant data for numerous security and non-security applications and substantially reducing the margin of error that comes with time-consuming and labour intensive 24/7 human surveillance.
A full suite of Essential Video Analytics is provided as standard without additional license fees on the DINION IP Starlight 6000 fixed box and FLEXIDOME IP Starlight 6000 fixed dome cameras at competitive price points. All IP 7000 and IP 8000 Starlight cameras are equipped with state-of –the-art Intelligent Video Analytics from Bosch: a full suite of robust video analytics algorithms offering the highest accuracy for the ultimate in video analytics. These analytics require no additional investment or license fees from the user.
Essential Video Analytics offers 15 different video analytics algorithms that can be used for advanced intrusion detection and enforcing Health and Safety regulations. It also possesses business analytics capabilities, such as people counting and crowd density information for retail environments.
Intelligent Video Analytics is specifically designed for the most demanding environments. It has the added capacity to deliver the highest level of accuracy for mission critical applications such as those at perimeter protection for airports and critical infrastructures, ship tracking and traffic monitoring.
In addition, Intelligent Video Analytics offers 17 different video analytics algorithms and can do everything that essential video analytics does. What makes the former stand out is its ability to differentiate between genuine security events and known false triggers such as challenging environments where snow, wind, rain, water reflections and distance could make images even more difficult to interpret. This helps to minimise costly false positives and enables end users to focus on what’s relevant to them.