1. THE CLEANTECH INVESTOR FORUM 2011 Infrared Applications Inc. Session 1 The Four Seasons Hotel Palo Alto, California March 7 & 8, 2011

2. Infrared Applications Inc. “Turn off the Lights, Turn on the Security” Gary L. Bane & Gary E. Ball March 7, 2011 Presentation: HarmAlarm.com HarmAlarm.com

3. Agenda Physical Security Market The next Generation in Physical Security Surveillance Systems: HarmAlarm –Evolutionary (existing visual systems) –Revolutionary (advanced technology) The Future: 21 st Century – The Security Age Green Energy Conservation Enterprise Value Summary

4. Defining Issue State of Security Status Control rooms are costly, energy consuming, and understaffed for video volume Most security systems operate in a record only mode. Technology until now has failed to find the solutions desired. Industry Security Requirements 1.Detect security threat 2.Verify 3.Provide actionable intelligence 4.Operational communication 5.Update the event 6.Document the incident 7.No false alarms 8.Affordability

5. HarmAlarm: Next Generation Defined by the concept & claims of US Patent 7,738,008, June 2010 A surveillance field is formed by two independent imaging sources. Objects common to the surveillance field are detected: –They are computed as physical objects in linear dimensions (SqFt) –They are located at precise coordinates (x,y,z) –And they are tracked over time. When objects are tracked, real time data is available: –This data supports higher order threat detection criteria (behavioral). –Also, the simultaneous detection, independent validation, & tracking eliminates false alarms The elimination of false alarms: –HarmAlarm the first automatic physical security system in the industry. –Detection  Response/Alarm, the benefit is: Improve the effectiveness of control rooms and provide record- only Security systems a real time capability

6. HarmAlarm Architecture US Patent No. 7,738,008, June 2010 Key elements Two imaging sensors form a Secured area, defined by overlapping fields-of-views 3 D real time scientific equations for target detection & classification Connectivity: –Optimized for each application Host computers: –Remote: mainframe, –Site: desk top or Cloud based IP Protocol –End-user set up –Menu driven Threat Criteria: –Menu specific, End-user defined Remote threat notification –Response team –Safety alert –Embedded Applications

7. Retrofit Plan Add a second camera, (if needed), and install HarmAlarm 3 D processing Manned security Control rooms: Benefits –Improve the control rooms effectiveness –Layer Security for critical applications (redundancy) –Downsize or eliminate Control Rooms TV monitors & recorders Air conditioning Electrical power consumption For Record-only systems: Benefit: –A real time threat detection capability Workers safety End-user an option to add a response capability Direct response are affordable Build relationships for the future –1,000 plus existing physical security integrators and service providers –Most will need technical assistance to implement HarmAlarm –Integrators become our “feet on the ground” for HarmAlarm growth

8. Revolutionary HarmAlarm’s preferred embodiment is: –Infrared Imagers with wireless connectivity. Why? –Infrared imaging provides stable target signatures. –Infrared enhances target tracking Especially in multi-target environments Precise target signature and uniqueness Maintains all objects in the track file –The track file: Needed for advanced behavioral threat recognition Infrared technology ensures the lowest false alarms rate.

9. False Alarm Improvement Camera A false alarm1/100 Camera B false alarm1/100 Occurring in common area 1/100 Independent Size matching1/100 3 D “single look” combined probability 1 in 10 7 Tracked over time 1/10 False Alarm probability 1 in 100 Million If Camera A was a single camera security system the false alarm rate would be 1 in 100 HarmAlarm versus single camera 1,000,000:1

10. Visual Camera vs Infrared Camera A false alarm1/100 Camera B false alarm1/100 Occurring in common area 1/100 Independent Size matching - 3 D “single look” combined probability 1 in 10 6 Tracked over time - False Alarm probability 1 in 1 Million If Camera A was a single camera security system the false alarm rate would be 1 in 100 Improvement for visual camera 10,000:1

11. Visual Camera vs Infrared False Alarm rate single camera 0.01/hour Probability of threat occurrence 1 per 90 days Probability of false alarm (base) 95.6% Probability True target visual cameras with HarmAlarm 79% Probability True target Infrared Cameras with HarmAlarm 99.8%

12. Advanced Threat Detection Lying-in-wait (home, parking lots, etc.) Stalking (a two object relationship over time) Loitering (peeping tom) Man-down (many causes) Crowd recognition (gathering targets) Profiling for signs of anxiety (retail theft, airports, etc.) Child-at-risk (child unattended) Animal threat (situation unique) Perimeter enhancement (home evasion) Agriculture (threat: human & natural) Natural events (fire, wind, water, slides, etc.) Threats defined at site (End-user specific)

13. Example

14. Camera A ------ Camera B

15. Geometric Relationships Location Camera A Location Camera B Target Location Distance Between Cameras R2 R1 Known Set-up value Cameras Position & target Location Range computations, R1 & R2

16. HarmAlarm Slant Range Calculations, for R1 & R2 R1 & R2 calculations require information from both cameras Both cameras, the 3 D solution is patent protected HarmAlarm is not a flat earth extrapolation (competitors) HarmAlarm equations are closed form scientific updated at video frame rates. Powerful “best estimating” algorithms based upon target signature properties. Equations shown have been simplified from their spherical trigonometry form. R1 = (Distance Between Cameras) x Sin (camera B angle o )/ (Sin (180 o – {camera B angle o } – {camera A angle o }) R2 = (Distance Between Cameras) x Sin (camera A angle o )/ (Sin (180 o – {camera B angle o } – {camera A angle o }) Color coding is matched to HarmAlarm Geometry relationships

17. Camera A ------ Camera B

20. Camera A ------ Camera B Partially obscured

21. IR Video Frames The four sequence still frames were over a 12 second period More than 720 frames for each camera was taken, as single shot data. The subjects actual size, height, and inherent thermal contrast was computed. The information unique identifies the subject.

22. The Future

23. 21 Century: The Security Age Personnel Physical Cyber-space Common Data Base

24. Shared Data Base Synergism: Where the sum exceeds the parts Shared communications Common Data Base –Identification, from all sources –Verification, by all sources –Correlation, linking of events Multi-discipline Threat Detection, Tracking actions over time Recognized by combined systems Threat Alert notification Multi-discipline alert Responder Information Situation awareness Identify threat elements Updated in real time simultaneous broadcast Consolidation of Enterprise Security Vendor support: Currently overlapping, redundant, holes, and confusing Simplify: Authority and responsibility with a single authority

25. Green Benefits

26. Green Applications IR technology Old practices, formed when energy was cheap and abundant. Wasting energy is an economic and environmental problem. A major use of electrical energy is for lighting. One of the common uses of night time illumination is for security.

27. Commercial Car Lot Application 70,000+ cars lots in the USA. They operate and deploy strong illumination. It is estimated they consume greater 500 KMWHs per day. ~40% of the power is consumed after the close of business. Millions of dollars per day with a large carbon footprint. Car theft rings are sophisticated. –They targeted certain car models –To be dissembled, crated, and shipped to foreign markets within hours of the theft. –The car thief is not just stealing, they are filling an order. When a car lot is lighted, the total time from entering, locating the car, and departing is less than 5 minutes for a professional thief. We would like to increase the response window to > 10 minutes

28. Darkness: The new Ally of Security HarmAlarm places the scene in total darkness. –Darkness slows down the actions and movements of the thief. –The search takes longer. The thief is identified when he enters the surveillance field. –Early detection –Actions are slowed down –The time window is lengthen –The opportunity for apprehension is increased. Infrared technical performance is superior to visual cameras, stable signature. The stable IR signature makes a positive unambiguous identification possible, Inherent Thermal Contrast (ITC). Better performance, lower cost of ownership, and Green Benefits

29. Enterprise Value

30. Reduces Operating costs –Lowering operating costs will increase market size Increase Revenues from: –Retrofits to existing security systems –Expansion of existing market or market share –New Applications, leading to new markets Revenue Sources –Sale or Lease of HarmAlarm components –Wireless service monthly fees Five year forecast

31. Five Year Cash Flow (Based upon 7.6 million units) Cash Flow (Millions of Dollars) 20122013201420152016 Total Production -60-125 -190 -190 -190 -755 Development OEM -10 -10 -20 Income Product (Sell or Lease) 55 140 210 215 220 840 Wireless fees 18.2 75.2 207.5 285.1 399 985 Cash Flow 3.2 80.2 227.5 310.1 429 1,050 Accumulative 3.2 83.4 310.9 621 1,050 Profit Margins: Hardware 15% & Wireless 70%

32. Summary

33. Point of Convergence The Market factors have changed since 2004. Security and safety requirements want a real time capability, Infrared technology has matured since 2004 performance and cost, –Costs have decreased by a factor of 7-8 Wireless capability has grown and matured, –Video applications are here (3G, 4G) – & Cloud computing potential? Internet IP Protocol, has become standard practice Growth in handsets, custom applications –Embedded response action plan The HarmAlarm provides the architecture, road map and direction.

34. Summary Protected by US Patent 7,738,008, issued June 15, 2010. HarmAlarm –The next generation in Physical Security Systems. –Based upon closed form 3-dimensional processing –Detects, verifies, and sounds a threat alert. –Eliminates false alarms HarmAlarm, the world’s first automatic physical security system The Long Term Future direction: –Integrate HarmAlarm with Personnel and Cyber-space security to create a Total Security solution. –Who?, what?, when?, where?, and by whose authorization? Are all questions to be answered by Total Security.

35. Our Strategy Formation of the right Team (relationships) –Understanding of the Physical Security Market –Knowledgeable of key technologies Visual/Infrared imaging advances, Wireless: cloud computing, video bandwidth Chipset volume production, handsets, cameras, wireless Custom handset production, embedded applications. –A long term relationship Segregate HarmAlarm into stand-alone business units Profit Centers: –Green Applications (conservation) –Upgrade visual wavelength systems (existing Physical Security systems) –Home Security (extension of threat warning) –Military (mobile threat perimeter security system) –OEM Volume Production Base (HarmAlarm components)

36. Disclaimer The Infrared Applications Inc. (IAI) Business Plan contains forward-looking information that is subject to certain risks and uncertainties that could cause actual results to differ materially from those projected. Statements that are not historical facts, including statements about strategies, plans and expectations about new and existing products, services, technologies, opportunities, industry growth, demand for and acceptance of new and existing products, and returns on investments in products and markets, are forward- looking statements that involve risks and uncertainties that could significantly impact the company. These risks include, but are not limited to, the projected market for IAI products and potential returns. Factors which could cause actual expectations to differ materially from these projections include the actual market acceptance of the product, the cost of the product, unforeseen difficulties in the construction of the product, and the competitive environment within the industry. When Infrared Applications Inc. uses words such as “believe,” “expect,” “anticipate” or similar words, it is making forward-looking statements. Certain articles, studies and reports that management relied on in preparing the projections also make forward-looking statements. These articles, studies and reports base their forward-looking statements on a number of different factors and assumptions, all of which are beyond management’s control. All of these assumptions are subject to a high degree of uncertainty. One or more of these assumptions may turn out to be incorrect. Accordingly, actual developments may differ materially from the projections contained in these articles, studies and reports. The management of Infrared Applications Inc. makes no assertion over the correctness of the material contained in the Business Plan, and interested parties must rely on their own independent research and due diligence to reach their independent conclusions.