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M.I.N.D. presentation
- 2. MIND Microchip Identification Number Distributor
- 3. INTRODUCTION
- 4. INTRODUCTION
- 5. INTRODUCTION Oscar Fernandez Founder & COO
- 6. INTRODUCTION Oscar Fernandez Founder & COO Angel Soria Market Analyst & Marketing Director
- 7. INTRODUCTION Oscar Fernandez Founder & COO Angel Soria Market Analyst & Marketing Director Alex Gaskins Industry Analyst & Public Relations Director
- 8. INDUSTRY
- 9. INDUSTRY RFID History First used by Allies in WWII
- 10. INDUSTRY RFID History First used by Allies in WWII Current Use
- 11. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 12. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 13. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 14. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 15. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 16. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 17. INDUSTRY RFID History 35 First used by Allies in WWII 30 Current Use 25 20 15 10 5 ‘06 ‘08 ‘10 ‘12 0 ‘14 ‘16 Other USA Statistics are based on millions measuring units
- 18. INDUSTRY VALUE
- 20. INDUSTRY VALUE Various Markets Current Value
- 21. INDUSTRY VALUE Various Markets Current Value Projected Growth
- 22. INDUSTRY VALUE Various Markets 40 Current Value 30 Projected Growth 20 10 0 ‘06 ‘07 ‘10 ‘12 Bell Curve Industry Growth
- 23. INDUSTRY VALUE Various Markets 40 Current Value 30 Projected Growth 20 10 0 ‘06 ‘07 ‘10 ‘12 Bell Curve Industry Growth
- 24. TARGET MARKETS Farmers Construction & Mechanical Industries Plumbing, Gardening and Automotive Government Offices Educational Institutions Individuals & Small to Large Businesses
- 25. LOCAL SCOPE OF MARKET
- 26. LOCAL SCOPE OF MARKET Tulare County 294 Ag related crimes attributed to $1.5 Million
- 27. LOCAL SCOPE OF MARKET Tulare County 294 Ag related crimes attributed to $1.5 Million 3500 2820 2140 1460 780 100 2003 2004 2005 2010 Kern Fresno Tulare Kings Madera Merced
- 28. LOCAL SCOPE OF MARKET Tulare County 294 Ag related crimes attributed to $1.5 Million 3500 2820 2140 1460 780 100 2003 2004 2005 2010 Kern Fresno Tulare Kings Madera Merced
- 29. LOCAL SCOPE OF MARKET Tulare County 294 Ag related crimes attributed to $1.5 Million 3500 2820 2140 1460 780 100 2003 2004 2005 2010 Kern Fresno Tulare Kings Madera Merced
- 30. LOCAL SCOPE OF MARKET Tulare County 294 Ag related crimes attributed to $1.5 Million 3500 2820 2140 1460 780 100 2003 2004 2005 2010 Kern Fresno Tulare Kings Madera Merced
- 31. SCOPE OF MARKET
- 35. SCOPE OF MARKET TX, FL, NC, CA, GA OK, SC, TN, IL, MO California U.S.A. Global 43% 57%
- 36. SCOPE OF MARKET Top 10 States Remaining States California U.S.A. Global 39% 61%
- 37. TYPES OF STOLEN EQUIPMENT
- 38. TYPES OF STOLEN EQUIPMENT NCIB and NER statistic from the 2008 report
- 39. OPERATION
- 40. OPERATION Location Starting out of home Internet sales
- 41. OPERATION Location Starting out of home Internet sales Multi-Level Identification Standard ID with file storage Long range storage and tracking
- 43. OPERATION SUPPLIES Wholesale scanners and tags from AVID
- 44. OPERATION SUPPLIES Wholesale scanners and tags from AVID Software design Partnership with local and federal departments
- 45. PRODUCT DELIVERY
- 46. PRODUCT DELIVERY Internet and phone sales Purchases online include software and DVD.
- 47. PRODUCT DELIVERY Internet and phone sales Purchases online include software and DVD. Local orders Directly drive and install for customers.
- 48. PRODUCT DELIVERY Internet and phone sales Purchases online include software and DVD. Local orders Directly drive and install for customers. After-hours Service depends on location. Customer’s local and federal law enforcement.
- 49. START-UP COSTS Category Cost License $100 Payroll $100,000 Scanners $25,000 Tags $25,000 Software $2,500 Website $50 First Year Total $172,650
- 50. START-UP COSTS Market Profit Farm $66,000 Government $50,000 Education $50,000 Large Businesses $20,000 Small Businesses $10,000 Individuals $4,000 First Year Total $200,000
- 51. RESOURCES The Freedonia Group - Market Research Firm Washington State Department of Agriculture United States Department of Agriculture information protal Kurt McPhetridge, Investigator, Tulare County Rural Crimes Unit National Equipment Registry 2008 Report
- 53. MIND Thank You
Editor's Notes
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- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- First used by allies in WWII to identify friendly targets.\nCurrent uses range from product tracking in retail stores, human tracking in prison systems, and pet tracking around the world from livestock to family pets.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
- When you compare the previous statistics to a prime investment bell curve, the RFID industry is directly inline with a cow growth investment prior to climax.\n
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- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- Talk about Tulare County Rural Crime Statistics. $1.5 million loss in 2010. Include graph of statistics from 2005-2010. (Graph: This graph displays the value in property loss in 1000s for example 100=100,000 and 1000=1,000,000. The highest loss from Kern County occurred in 2005 with a loss of nearly $3.5 million. Then, Fresno in 2004 with just over $3.1 million. Then, Tulare with $1.6 million in 2004 and $1.5 just last year. We were unable to find statistics for the years in between.)\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
- "Market Statistics" slide. "Contributors of Theft" slide. "Reasons for Theft" slide. "Types of Equipment" slide.\n
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- Describe necessary “to-do’s” and “Our Services”\n
- Describe necessary “to-do’s” and “Our Services”\n
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