Will Technology Be Able to Solve the Paris Shootings?

The transcript discusses the challenges of using biometric recognition in identifying suspects due to facial coverings and the need for suspects to be in government databases. It highlights the importance of pattern recognition, forensic evidence, and network traffic analysis in investigations. The text also explores technological advancements in recognition and the role of big data analytics in linking disparate events. Human intelligence and communication patterns are emphasized as crucial tools in understanding and preventing criminal activities.

What is a major challenge in using biometric recognition for identifying suspects?

• Lack of government databases

• High cost of technology

• Limited access to video footage

• Inaccurate facial recognition

What is a limitation of using facial recognition in suspect identification?

• Lack of trained personnel

• Suspects wearing masks

• Inadequate lighting conditions

• High cost of implementation

Which method is considered most useful when video footage is not informative?

• Fingerprint analysis

• Voice recognition

• Network traffic analysis

• Facial recognition

What is a key factor in the effectiveness of network traffic analysis?

• Quality of video footage

• Communication patterns between individuals

• Availability of high-speed internet

• Presence of suspects in government databases

How has forensic evidence technology advanced in recent years?

• Faster internet speeds

• Better video quality

• Improved DNA analysis

• Enhanced voice recognition

What is necessary for a DNA match in forensic analysis?

• Advanced facial recognition software

• Suspect's DNA in a forensic database

• Access to social media accounts

• High-quality video footage

What role does big data analytics play in crime investigation?

• It focuses solely on social media analysis

• It replaces traditional forensic methods

• It reduces the need for human intelligence

• It links separate events to uncover plots