What can and cannot be established about a person from low-resolution CCTV, the pixel thresholds that govern it, and how to work a case when the face is unusable.
An evaluation framework for forensic video software: the eleven capabilities that determine whether a platform holds up in casework and in court.
How video analytics compresses weeks of CCTV review into hours, what the workflow looks like in practice, and where human judgement stays essential.
A practical guide to enhancing CCTV footage for investigations, the processing steps that are forensically defensible, and the ones that will get your evidence excluded.
Forensic video analysis explained for investigators: the workflow from seizure to court, what the discipline actually covers, and where AI genuinely helps.
Cross-border investigations rely heavily on accurate communication analysis, but multilingual transcription introduces significant complexity. Differences in languages, regional dialects, accents, and cultural context make it difficult to capture the true meaning of conversations.
As AI-generated images grow increasingly realistic, the next frontier of defense lies in detecting the invisible fingerprints left behind in every pixel. From GAN frequency inconsistencies to heatmap-based anomaly detection, deepfake forensics is shifting from human perception to measurable, machine-level analysis.
As AI-generated images grow increasingly realistic, the next frontier of defense lies in detecting the invisible fingerprints left behind in every pixel. From GAN frequency inconsistencies to heatmap-based anomaly detection, deepfake forensics is shifting from human perception to measurable, machine-level analysis.
The rise of deepfakes is creating a fear psychosis among women online. With AI tools capable of generating fake explicit images from just one photo, social media no longer feels safe. From students in Sydney to influencers in India, victims of deepfake porn are multiplying. If this trend continues, a silent exodus of women from digital spaces may soon follow driven by fear, not choice.
On March 2024, the Indian government allocated about 10000 crore rupees towards the India AI mission. The paltry $1.25 billion budget got a lukewarm response at a time when Big Techs were spending multi-billion dollars each quarter buying the coveted AI chips. The AI race had turned into a spending spree where government spending of $1.25 billion seemed inadequate.
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