Conduct your best Security Site Survey with CCTV and Video Lighting Fundamentals

Transcription

1 Conduct your best Security Site Survey with CCTV and Video Lighting Fundamentals Steve Surfaro Group Manager, Industry Liaison Panasonic System Solutions Company

2 Agenda Assessment of existing systems/preliminary recommendations Intrusion detection Fire alarm, access control, CCTV Physical barriers, lighting Crime prevention through environmental design Sample security system report format Color temperature basics Reflectance/emmisivity Black and white IR applications SDIII cameras in video lighting applications

3 Introduction Where does the Security Site Survey sit in the scheme of a Physical Security Program? Advantages of the Assessment Process Identify the System Types to match and minimize the Risk Types Conduct the Site Survey

4 Pre-Assessment Phase What are you going to Assess? Protection this key information with procedures Identify and Rank Critical Assets

5 Assessment Analyze Network Architecture Assess Threat Environment Test and try to defeat the System Assess Physical Security (AKA The Site Survey Conduct Physical Asset Analysis Assess Operations Security Examine Policies and Procedures Conduct Impact Analysis Assess Infrastructure Interdependencies Conduct Risk Characterization

6 Post-Assessment Prioritize Recommendations Develop Action Plan Capture Lessons Learned and Best Practices Deploy Security System Conduct Training

7 Advantages of Conducting Assessments and Surveys Increase awareness, not necessarily paranoia Establish a baseline Identify vulnerabilities and develop responses What key assets drive the risk management process Promote action to minimize risk Kick-off your Physical Security Program

8 Video Surveillance System Survey Functional Aspects Classify Video System by type: Video Surveillance (Monitoring Function) Forensic (Recording Function) Video Analytics Perimeter Security Access Control Classify Camera by Function Monitor basic activity (subject is 5% of vertical) Detection (10%) Recognition (Human, Animal or Vehicle) (50%) Identification (120%)

9 Method of Resolution Measurement & Camera Function Verify all Monitoring and Recording Functions using Rotakin or other accepted standard Adjust System as necessary for key areas, adding or moving cameras as required Monitor Detect Not less than 5% Vertical Not less than 10% Vertical Recognition Identification Not less than 50% Vertical Not less than 120% Vertical *courtesy Isle of Man Constabulary; CCTV Systems within Licensed Premises

10 Image examples suitable for Identification Function Enlargement and enhancement Images courtesy of Scientific Working Group on Imaging Technology and APTA Draft Guidelines for Cameras and Digital Video Recording Systems Suitable Not Suitable

11 An Aid to Identification the Intelligent Auto Tracking Camera Model WV-CW970 Accurate auto tracking capability Template matching algorithm Auto tracking includes Pan, Tilt and 2 steps zoom Object can be locked to track from the controller to support operator s s activity Masking can specify tracking area limit Camera, tracking DSP and micro processor are all in one for ease of setup and installation Same SDIII performance and features available in WV-CW960 Templat e sx VMD and Template Matching Low Cost Video Analytic! sy

12 Intelligent Auto Tracking Automatic Multi-Step Zoom Acquires Target and follows without interference Creates a better opportunity to identify subject Successful Hand-off to another PTZ Camera Original Camera resumes Auto Mode Camera 1 Camera 1 Camera 1 Return to Auto Mode Camera 1 Camera 1 Camera 2 Camera 1 Camera 2

13 Signal Mix Key Technology for High Contrast Light Scene: SDIII Pixel Based 128x Dynamic Range Threshold level & Gray scale Correction table Area Free (Pixel Based) Natural Contrast Image Correction Short signal for bright MIX Long signal for dark Super Dynamic III PLUS 1. Double speed CCD outputs short & long signal to capture the bright & dark image. 2. DSP combines signals to provide 128x dynamic range. 3. Area Free (Pixel Based) Natural Contrast Image Correction optimizes the gray-scale image in response to the input signal level of each individual pixel. 4. Regardless of object position, size, shape, or number it delivers smoother natural reproduction of high contrast images.

14 Use Lens Estimator to Size Lens Enter Scene Height, Width and Distance for Each Camera As an alternate, note actual viewing angle on scaled diagram Determine Object Height on Monitor to Match Functional Requirement Determine Focal Length

15 Video Site Survey Physical Aspects Viewing Angle Environment Lighting type, level Reflectance/ Emissivity Obstructions Temperature Humidity Corrosives Water Vandalism Mounting Conditions Cabling Entry Requirements Accessibility Special Objects / Scenes (some examples) Vehicles License Plates Shoreline/Border Transit Platforms

16 Camera Functions In Critical Locations, Back up PTZ Cameras with a Fixed Camera Consider Activation Methods for PTZ Camera Preset Acquisition in Survey Use widest usable field of view for fixed camera

17 Site Survey Cycle Enter Site Survey Data (Rough Sketches, Location Notes) Normalize Devices by Camera Types Transfer to Floor Plans Verify samples with actual site

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19 Let there be light!

20 Color Temp Chart AWC ATW2 ATW1 Camera Settings

21 CRI Color Rendition Index Lighting Type Color Rendition Index Relative Image Reproduction Daylight 100 Excellent Incandescent 97 Excellent Fluorescent Excellent Halogen Excellent LP Sodium 5 Poor HP Sodium 30 Poor => Fair Mercury Vapor 43 Poor => Fair Metal Halide 70 Good

22 Reflectance The ratio of the total amount of spectral radiation, reflected by a surface to the total amount of radiation incident on the surface

23 Luminance Luminance is the intensity of brightness (in candela per unit area) of a surface Higher luminance values are associated with brighter surfaces.

24 Luminance Concrete is 1.77 times more luminous than asphalt (reference chart; equation below)

25 Luminance Uniformity Luminance uniformity is another significant factor in the lighting of parking lots represented by the maximum to minimum horizontal luminance ratio (max:min) High max:min ratios, certain areas of parking lots can have low luminance levels Associated with poor visibility Low max:min ratios present a more uniform luminance distribution. Asphalt has a max:min luminance ratio of 1.97 times greater than concrete Concrete has a more uniform luminance distribution

26 Emmissivity of common materials Chromium polished Iron and steel (excluding stainless) polished iron Iron and steel (excluding stainless) oxidized dull wrought iron Stainless steel polished Asphalt, tar, pitch Brick red and rough Glass - Pyrex, lead, soda Paints, lacquers, and varnishes Black matte shellac Water Wood planed oak

27 IR Surveillance System Components IP66 Rated Housing for Environmental Resistance Day/Night Camera has IR Sensitivity to match IR Illuminator Hi Speed Lens means the Max. Aperture is large (small number like f/0.75 ~ f/2) IP66 Rated Housing Hi Speed Varifocal Lens Auto BackFocus Operation IR Illuminator Day/Night Camera w/ Auto BackFocus

28 Camera/Lens Issues with IR Illumination CCTV Cameras - Automatic Switchover Day/Night : Color to B/W Duration/Level Adjustments Anti Day/Night Mode Hunting Day / Night and IR Compatible Lenses Automatic Axial chromatic aberration compensation (focus shift) Axial chromatic aberration is a phenomenon of being out of focus on the optical axis which is caused by light wavelength Lenses may respond to various IR ranges (700nm~ 1,500nm)

29 Reading Camera IR Response Curves Find the Wavelength(s) that the IR illuminator will produce Camera on right has 33% greater IR response at 850 nm Camera will product a brighter image with same IR illuminator

30 Video System Design Best Practices Make sure users have the live and recorded image quality they need Maintain most favorable criteria for your project Lowest Reasonable Cost for System Increase the number of ways you can access your video information Spend as much as you can afford to strengthen and secure your network Do not have one device service too many user or perform many functions Improve your System Survivability Model all network-based systems prior to specification phase

31 Conclusions The Assessment and Survey Process increases awareness Think like a thief and ways to defeat the system Expect wider ranging environmental conditions (light, etc.) than seen at survey If using wireless technologies, you must conduct a separate RF Survey Limit the Camera Usage to its primary function Use additional Cameras for simultaneous functions in critical areas