Serial Killer: Robert Zarinsky killed at least 3-10 people via Bonnie’s Blog of Crime

Victims
Police Officer Charles Bernoskie, [11/28/1958] (acquitted at trial)
Mary Ann Klinsky, 18 [9/16/1965] DNA linked him
Jane Katherine Durrua, 13 [11/5/1968] died before trial
Rosemary Calandriello, 17 [8/25/1969] life in prison
Linda Balabanow, 17 [3/27/1969] prime suspect
Joanne Delardo, 15 [12/13/1974] prime suspect
Doreen Ann Carlucci, 14 [12/13/1974] prime suspect

Find-A-Grave: Charles D. Bernoskie
Find-A-Grave: Mary Ann Klinsky
Find-A-Grave: Jane Katherine Durrua
Find-A-Grave: Rosemary K. Calandriello
Find-A-Grave: Joanne Delardo
Find-A-Grave: Doreen Ann Carlucci
New Jersey Girl Murders 1960-1980
Linden Man Held in Slaying of Girl, 16
DNA links suspected serial killer to teen’s 1965 murder in New Jersey
Suspected serial killer tied to 50-year-old homicide
Suspected serial killer investigated in teen’s cold case homicide
A pleasant, not perfect, hometown
Killer’s House Is Searched for Clues in Other Slayings
Suspected serial killer investigated in teen’s cold case homicide
State of New Jersey v Robert Zarinsky 1976 (conviction and sentence affirmed)
Suspected serial killer Robert Zarinsky dies in prison
Robert Zarinsky: Why he’s 1 of N.J.’s most notorious killers
Serial Killers: Robert Zarinsky
Murderpedia: Robert Zarinsky
Wikipedia: Robert Zarinsky
Find-A-Grave: Robert Zarinsky


Robert Zarinsky

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Victims Police Officer Charles Bernoskie, [11/28/1958] (acquitted at trial) Mary Ann Klinsky, 18 [9/16/1965] DNA linked him Jane Katherine Durrua, 13 [11/5/1968] died before trial Rosemary Calandriello, 17 [8/25/1969] life in prison Linda Balabanow, 17 [3/27/1969] prime suspect Joanne Delardo, 15 [12/13/1974] prime suspect Doreen Ann Carlucci, 14 [12/13/1974] prime suspect Find-A-Grave: Charles D. Bernoskie […]

Serial Killer: Robert Zarinsky killed at least 3 people, probably closer to 10 — Bonnie’s Blog of Crime

From Princeton University (US) School of Engineering and Applied Science : “Researchers shrink camera to the size of a salt grain” — sciencesprings

School of Engineering and Applied Science at Princeton University (US) November 29, 2021 Molly Sharlach Researchers at Princeton University and the University of Washington have developed an ultracompact camera the size of a coarse grain of salt. The system relies on a technology called a metasurface which is studded with 1.6 million cylindrical posts and […]

From Princeton University (US) School of Engineering and Applied Science : “Researchers shrink camera to the size of a salt grain” — sciencesprings

Communicating benefits to customers (Part 4 of 3) — Bredemarket

[Link to part 1] | [Link to part 2] | [Link to part 3] I knew I’d think of something else after I thought this whole post series was complete. But this post will be brief. Benefit statements are not only affected by the target customers, but are also affected by the “personality” of the […]

Communicating benefits (not features) to identity customers (Part 4 of 3) — Bredemarket

Protocols That Were Considered Normal 1,000 Years Ago — DiscoverNet

Modern people aren’t exactly without our flaws, but for the most part we’re less willfully creepy than our forebearers. Sure, there are a lot of people who still can’t be bothered to wash their hands after using the toilet, and there are evidently loads of people who send unsolicited photos of certain body parts to […]

Creepy Things That Were Considered Normal 1,000 Years Ago — DiscoverNet

ISP forensic dashboard provides accountability & transparency —WCIA.com

ILLINOIS (WCIA) — The Illinois State Police Forensic Services Command (FSC) unveiled a new resource to provide more transparency and accountability to the public. A forensics dashboard, updated monthly, will show the number of case assignments and completion times including details for each section of the lab, the average number of days it took to […]

via ISP forensic dashboard provides accountability & transparency — WCIA.com

Biometrics — Forensic’s blog

INTRODUCTION

✴ The term “biometrics” is derived from the Greek words “bio” (life) and “metrics” (to measure).
✴ Biometrics is the technical term for body measurements and calculations.
✴ Biometrics is the measurement and statistical analysis of people’s unique physical and behavioral characteristics.
✴ Biometrics allows a person to be identified and authenticated based on a set of recognizable and verifiable data, which are unique and specific to them.
✴ Biometrics authentication is the process of comparing data for the person’s characteristics in order to determine resemblance.

CHARACTERISTCS

1. UNIVERSAL
2. UNIQUE
3. INVARIABLE
4. RECORDABLE
5. MEASURABLE

HISTORY OF BIOMETRICS

🔘1858 – First systematic capture of hand images for identification purposes is recorded.
🔘1870 – Bertillon develops anthropometries to identify individuals.
🔘1892 – Galton develops a classification system for fingerprints.
🔘1896 – Henry develops a fingerprint classification system
🔘1903 – NY State Prisons begin using fingerprints.
🔘1960s – Face recognition becomes semi-automated.
🔘1960 – First model of acoustic speech production is created.
🔘1963 – Hughes research paper on fingerprint automation is published.
🔘1974- First commercial hand geometry systems become available.
🔘1976 – First prototype system for speaker recognition is developed.
🔘1986 – Exchange of fingerprint minutiae data standard is published.
🔘1988 – First semi-automated facial recognition system is deployed.
🔘1991 – Face detection is pioneered, making real time face recognition possible.
🔘1992 – Biometric Consortium is established within US Government.
🔘1994 – Palm System is benchmarked.
🔘1996 – Hand geometry is implemented at the Olympic Games.
🔘1996 – NIST begins hosting annual speaker recognition evaluations.
🔘1997 – First commercial, generic biometric interoperability standard is published.
🔘1998- FBI launches COOlS (DNA forensic database).
🔘1999 – FBI’s IAFIS major components become operational.
🔘2001 – Face recognition is used at the Super Bowl in Tampa, Florida.
🔘2002 – ISO/IEC standards committee on biometrics is established.
🔘2004 – First statewide automated palm print databases are deployed in the US.
🔘2008 – U.S. Government begin coordinating biometric database use.
🔘2010 – U.S. national security apparatus utilizes biometrics for terrorist identification.
🔘2011 – Biometric identification used to identify body of Osama bin Laden.

TYPES OF BIOMETRICS

Biometrics Can Be Divided Into Three Main Categories Of Characteristics:
1. BIOLOGICAL
2. MORPHOLOGICAL
3. BEHAVIORAL

⏩DNA MATCHING

The identification of an individual using the analysis of segments from DNA.

👂EAR

The identification of an individual using the shape of the ear.

👀EYES – IRIS RECOGNITION & RETINA RECOGNITION

👁IRIS RECOGNITION- The use of the features found in the iris to identify an individual.
👁RETINA RECOGNITION- The use of patterns of veins in the back of the eye to accomplish recognition.

👱‍♂️FACE RECOGNITION

The analysis of facial features or patterns for the authentication or recognition of an individuals identity.

🤘FINGERPRINT RECOGNITION

The use of the ridges and valleys (minutiae) found on the surface tips of a human finger to identify an individual.

👋FINGER GEOMETRY RECOGNITION

The use of 3D geometry of the finger to determine identity.

🤚HAND GEOMETRY RECOGNITION

The use of the geometric features of the hand such as the lengths of fingers and the width of the hand to identify an individual.

🙌VEIN RECOGNITION

Vein recognition is a type of biometrics that can be used to identify individuals based on the vein patterns in the human finger or palm.

👃ODOUR

The use of an individuals odour to determine identity.

✍SIGNATURE RECOGNITION

The authentication of an individual by the analysis of handwriting style, specifically the signature. Technology is available to check two scanned signatures using advances algorithms.

👩‍💻TYPING RECOGNITION

The use of the unique characteristics of a persons typing for establishing identity.

🗣VOICE / SPEAKER RECOGNITION

There are two major applications of speaker recognition:
🙊Voice – Speaker Verification / Authentication
🙊Voice – Speaker Identification
✔In forensic applications, it is common to first perform a speaker identification process to create a list of “best matches” and then perform a series of verification processes to determine a conclusive match.
✔Voice recognition analyzes audio input for specific patterns in speech or sound. Each voice, or common noise, has a recognizable wavelength pattern that can aid in identification of a specific individual.

🚶‍♀️👣GAIT

The use of an individuals walking style or gait to determine identity.

Biometrics allows a person to be identified and authenticated based on a set of recognizable and verifiable data, which are unique and specific to them. This video covers following Points of Biometrics: 💡Introduction 💡Characteristics 💡History & 💡Types.

via Biometrics — Forensic’s blog