NYPD Technology: Tracking Queens Couple's Killer with Video and Credit Card Data

Manhunt for Accused Killer

• 🎯 Jamal McGriff is accused of torturing and killing an elderly couple in Queens after allegedly setting fire to their home.
• ⚠️ The suspect was initially heard knocking on doors, attempting to gain entry into other residences.
• ⚡ An urgent manhunt was initiated after the crime, with police quickly identifying their suspect.

Leveraging Video Evidence

• 📸 Neighborhood security video initially showed McGriff pushing his way into the victims' home.
• 🎬 Detectives later obtained clear video of McGriff leaving a movie theater after using the victim's credit cards.
• 📱 This crucial image was disseminated to every NYPD officer's phone via an internal app, significantly aiding the investigation.

Credit Card Trail

• 💳 Detectives made the strategic decision to keep the victim's credit cards open to track the suspect's movements.
• 📍 McGriff's escapades with the stolen credit cards, including a trip to see a movie in Union Square, provided critical leads.

Apprehension in Times Square

• 🔍 Officers from the NYPD's pickpocket unit recognized McGriff in Times Square due to the circulated photo on their department phones.
• ⏱️ The suspect was apprehended in just two days, a swift resolution attributed to the effective use of technology.
• 💪 The suspect, described as 6'4" and 250 lbs, reportedly put up a significant fight during his arrest.